Data / Research funding / STATISTICS
NSF program STATISTICS (126900): 560 awards, $102.4M to 132 organizations
560 NSF awards ($102.4M) under the program element STATISTICS (126900) to 132 organizations, fiscal years 2022 to 2026, read 2026-11-03.
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- Program element code
- 126900
- Directorate
- Directorate for Mathematical and Physical Sciences
- Division
- Mathematical Science Section
Awards
The 500 largest of 560 awards in the window.
| Award | Agency | Institute or division | Fiscal year | Amount in window | Start | End | Principal investigator | Source |
|---|---|---|---|---|---|---|---|---|
| RTG: Networks: Foundations in Probability, Optimization, and Data Sciences | NSF | Mathematical Science Section | 2022 | $1,851,408 | May 15, 2022 | April 30, 2028 | Amarjit Budhiraja | nsf.gov |
| RTG: Modeling and Uncertainty Quantification for Life Sciences | NSF | Mathematical Science Section | 2024 | $1,700,000 | August 1, 2024 | July 31, 2029 | Brian J Reich | nsf.gov |
| RTG: Statistics and Data Theory - Engaging the Future of Data Science | NSF | Mathematical Science Section | 2026 | $1,263,600 | September 1, 2026 | August 31, 2031 | Guido F Montufar Cuartas | nsf.gov |
| SCH: Multimodal representation learning and anomaly quantification for data-driven stroke rehabilitation | NSF | CSE - Core Programs | 2024 | $1,199,995 | October 1, 2024 | September 30, 2028 | Heidi M Schambra | nsf.gov |
| Collaborative Research: FDT-BioTech: Aspects of Digital Twin Studies for Neuroimages | NSF | Mathematical Science Section | 2024 | $888,680 | September 1, 2024 | August 31, 2027 | Snigdhansu B Chatterjee | nsf.gov |
| FRG: Collaborative Research: Mathematical and Statistical Analysis of Compressible Data on Compressive Networks | NSF | Mathematical Science Section | 2022 | $800,000 | July 1, 2022 | June 30, 2026 | Kai Zhang | nsf.gov |
| Collaborative Research: FDT-BioTech: Digital Twins with Statistical Topological Learning of Periodontal Diseases | NSF | Mathematical Science Section | 2025 | $650,892 | September 15, 2025 | August 31, 2028 | Yulia Gel | nsf.gov |
| Statistical Inference for Optimal Transport | NSF | Mathematical Science Section | 2023 | $600,000 | August 15, 2023 | July 31, 2027 | Larry A Wasserman | nsf.gov |
| IMR: MM-1A: Evolutionary Modeling and Acquisition of Multidimensional 5G Internet Measurements | NSF | Software & Systems Foundations | 2022 | $599,932 | September 1, 2022 | August 31, 2026 | Jie Ding | nsf.gov |
| Elements: Scalable Bayesian Software for Interpreting Astronomical Images | NSF | Office of Advanced Cyberinfrastructure | 2022 | $500,000 | September 1, 2022 | August 31, 2026 | Jeffrey Regier | nsf.gov |
| Interface of Statistical Learning and Optimal Decisions | NSF | Mathematical Science Section | 2022 | $500,000 | July 1, 2022 | June 30, 2027 | Jianqing Fan | nsf.gov |
| MATH-DT: Functional Surrogate Modeling for Human Agile Locomotion with Wearable Technology | NSF | Mathematical Science Section | 2025 | $490,000 | September 1, 2025 | August 31, 2028 | Nathan Wycoff | nsf.gov |
| Analysis of Interacting Particle Systems on Sparse Graphs | NSF | Mathematical Science Section | 2026 | $489,060 | August 1, 2026 | July 31, 2029 | Kavita Ramanan | nsf.gov |
| A Consensus Study on Frontiers of Statistics in Science and Engineering: 2035 and Beyond | NSF | Mathematical Science Section | 2024 | $450,000 | September 1, 2024 | August 31, 2027 | Michelle K Schwalbe | nsf.gov |
| Collaborative Research: Elements: Scalable and Automated Learning of Active Dynamics (SALAD) | NSF | Office of Advanced Cyberinfrastructure | 2024 | $449,818 | September 1, 2024 | August 31, 2027 | Mengyang Gu | nsf.gov |
| CAREER: Integrating Optimal Design and Inference for Modern Observational Studies | NSF | Division of Social and Economic Sciences | 2022 | $437,422 | July 1, 2022 | June 30, 2027 | Samuel D Pimentel | nsf.gov |
| CAREER: Data-Centric Evolutionary Contagion Models with Parallel and Quantum Parallel Computing | NSF | Mathematical Science Section | 2023 | $434,294 | July 1, 2023 | June 30, 2028 | Andrew Holbrook | nsf.gov |
| Collaborative Research: FDT-BioTech: Advancing Mathematical and Statistical Foundations to Enhance Human Digital Twin of Neurophysiological Modeling and Uncertainty Quantification | NSF | Mathematical Science Section | 2026 | $429,819 | February 15, 2026 | December 31, 2027 | Huixia J Wang | nsf.gov |
| CAREER: Inference with graphs: density skeleton and Markov missing graph | NSF | Mathematical Science Section | 2022 | $400,008 | July 1, 2022 | June 30, 2027 | Yen-Chi Chen | nsf.gov |
| CAREER: High-dimensional Tensor Learning: The Good, the Bad, and the Pragmatic | NSF | Mathematical Science Section | 2022 | $400,006 | September 1, 2022 | August 31, 2027 | Miaoyan Wang | nsf.gov |
| CAREER: Foundations for Bayesian Nonparametric Causal Inference | NSF | Mathematical Science Section | 2022 | $400,002 | May 1, 2022 | April 30, 2027 | Antonio R Linero | nsf.gov |
| CAREER: Detecting Structured Anomalies in Large-Scale Sequential Decision Problems and Latent Variable Models | NSF | Mathematical Science Section | 2022 | $400,001 | July 1, 2022 | June 30, 2027 | Xiaoou Li | nsf.gov |
| CAREER: High-dimensional inference and applications to modern biology | NSF | Mathematical Science Section | 2022 | $400,000 | July 1, 2022 | June 30, 2027 | Zhou Fan | nsf.gov |
| CAREER: New Statistical Approaches for Studying Evolutionary Processes: Inference, Attribution and Computation | NSF | Mathematical Science Section | 2022 | $400,000 | February 1, 2022 | January 31, 2027 | Julia Palacios | nsf.gov |
| CAREER: New Paradigms of Estimation and Inference in Constrained Nonparametric Models | NSF | Mathematical Science Section | 2022 | $400,000 | July 1, 2022 | June 30, 2027 | Qiyang Han | nsf.gov |
| FRG: Collaborative Research: Mathematical and Statistical Analysis of Compressible Data on Compressive Networks | NSF | Mathematical Science Section | 2022 | $400,000 | July 1, 2022 | June 30, 2026 | Yichao Wu | nsf.gov |
| Collaborative Research: IMR: MM-1A: Functional Data Analysis-aided Learning Methods for Robust Wireless Measurements | NSF | Software & Systems Foundations | 2023 | $399,998 | October 1, 2023 | September 30, 2027 | Shiwen Mao | nsf.gov |
| Collaborative Research: IMR: MM-1A: Scalable Statistical Methodology for Performance Monitoring, Anomaly Identification, and Mapping Network Accessibility from Active Measurements | NSF | Software & Systems Foundations | 2023 | $398,469 | October 1, 2023 | September 30, 2027 | Stilian A Stoev | nsf.gov |
| Statistical Inference with Strategic Agents: Accounting for Incentives and Information Asymmetry | NSF | Mathematical Science Section | 2024 | $375,000 | August 15, 2024 | July 31, 2027 | Martin Wainwright | nsf.gov |
| New Statistical Methods for Computer-Assisted Inversion with Applications to Satellite Remote Sensing | NSF | Mathematical Science Section | 2022 | $365,262 | July 1, 2022 | June 30, 2026 | Yves Atchade | nsf.gov |
| CAS-Climate/Collaborative Research: Prediction and Uncertainty Quantification of Non-Gaussian Spatial Processes with Applications to Large-scale Flooding in Urban Areas | NSF | Civil, Mechanical, & Manufacturing Innovation | 2022 | $364,581 | September 1, 2022 | December 31, 2026 | Soutir Bandyopadhyay | nsf.gov |
| REU Site: Summer Undergraduate Mathematics Research at Kansas State University (SUMaR at K-State) | NSF | Mathematical Science Section | 2026 | $362,021 | August 1, 2026 | July 31, 2029 | Rina Anno | nsf.gov |
| Models and Inferences for Heterogeneous Interaction Patterns in Social Networks | NSF | Mathematical Science Section | 2022 | $360,000 | August 1, 2022 | July 31, 2026 | Jun Yan | nsf.gov |
| CAREER: Structure Learning and Forecasting of Large-Scale Time Series | NSF | Mathematical Science Section | 2023 | $359,132 | July 1, 2023 | June 30, 2028 | Sumanta Basu | nsf.gov |
| CAREER: Statistical Learning with Recursive Partitioning: Algorithms, Accuracy, and Applications | NSF | Mathematical Science Section | 2023 | $354,589 | June 1, 2023 | May 31, 2028 | Jason M Klusowski | nsf.gov |
| CAREER: Ensemble Kalman Methods and Bayesian Optimization in Inverse Problems and Data Assimilation | NSF | Mathematical Science Section | 2023 | $354,265 | February 1, 2023 | January 31, 2028 | Daniel Sanz-Alonso | nsf.gov |
| Statistical Modeling for Complex Networks | NSF | Mathematical Science Section | 2022 | $350,000 | September 1, 2022 | August 31, 2026 | Ji Zhu | nsf.gov |
| Nonparametric Estimation and Inference with Network Data | NSF | Division Of Mathematical Sciences | 2022 | $350,000 | August 15, 2022 | July 31, 2025 | Matias D Cattaneo | nsf.gov |
| Bayes factor functions | NSF | Mathematical Science Section | 2023 | $350,000 | September 1, 2023 | August 31, 2026 | Valen E Johnson | nsf.gov |
| Bayesian Joint Model for High Dimensional Health Data | NSF | Mathematical Science Section | 2024 | $350,000 | August 1, 2024 | July 31, 2027 | Sanjib Basu | nsf.gov |
| Towards Bayesian Digital Twins: Enabling Uncertainty Propagation between Modules and across Assets | NSF | Mathematical Science Section | 2025 | $350,000 | August 15, 2025 | July 31, 2028 | Oksana A Chkrebtii | nsf.gov |
| Collaborative Research: FRGMS: Exploring hidden components in complex data: Geometry, uncertain quantifications, and dynamics | NSF | Mathematical Science Section | 2026 | $350,000 | August 15, 2026 | July 31, 2029 | Jianqing Fan | nsf.gov |
| Conference: The SIAM Quantum Intersections Convening | NSF | Division Of Mathematical Sciences | 2024 | $349,996 | August 1, 2024 | July 31, 2025 | Suzanne L Weekes | nsf.gov |
| CAREER: Learning stochastic spatiotemporal dynamics in single-molecule genetics | NSF | Mathematical Science Section | 2025 | $344,506 | August 15, 2025 | June 30, 2029 | Christopher E Miles | nsf.gov |
| Statistical Problems in Quantum Learning | NSF | Mathematical Science Section | 2025 | $344,228 | August 1, 2025 | July 31, 2028 | Yazhen Wang | nsf.gov |
| Statistical Models and Methods for Complex Data in Metric Spaces | NSF | Mathematical Science Section | 2023 | $335,849 | July 1, 2023 | June 30, 2027 | Hans-Georg Mueller | nsf.gov |
| CAS-Climate/Collaborative Research: Prediction and Uncertainty Quantification of Non-Gaussian Spatial Processes with Applications to Large-scale Flooding in Urban Areas | NSF | Civil, Mechanical, & Manufacturing Innovation | 2022 | $333,763 | September 1, 2022 | December 31, 2026 | Soumendra N Lahiri | nsf.gov |
| Catching Copulas in a Lie: Goodness-of-Fit Testing for Covariate-Dependent Copulas under Censoring | NSF | Mathematical Science Section | 2026 | $333,624 | September 1, 2026 | August 31, 2029 | Qian Zhou | nsf.gov |
| CAREER: Super-Quantile Based Methods for Analyzing Large-Scale Heterogenous Data | NSF | Mathematical Science Section | 2023 | $332,806 | June 1, 2023 | May 31, 2028 | Kean Ming Tan | nsf.gov |
| RUI: Developing Bayesian statistical models incorporating mechanistic processes for ecological data | NSF | Mathematical Science Section | 2026 | $330,740 | September 1, 2026 | August 31, 2029 | Becky Tang | nsf.gov |
| Advancing Theory and Methodology for Tree-Based Algorithms in High Dimensions | NSF | Mathematical Science Section | 2022 | $330,000 | July 15, 2022 | June 30, 2026 | Bin Yu | nsf.gov |
| A New Stochastic Neural Network: Statistical Perspectives and Applications | NSF | Mathematical Science Section | 2022 | $330,000 | August 1, 2022 | July 31, 2026 | Faming Liang | nsf.gov |
| Covariate-adjusted Expected Shortfall under Data Heterogeneity | NSF | Division Of Mathematical Sciences | 2023 | $330,000 | September 1, 2023 | September 30, 2023 | Xuming He | nsf.gov |
| Non-parametric estimation under covariate shift: From fundamental bounds to efficient algorithms | NSF | Mathematical Science Section | 2023 | $330,000 | July 1, 2023 | June 30, 2026 | Martin Wainwright | nsf.gov |
| Covariate-adjusted Expected Shortfall under Data Heterogeneity | NSF | Mathematical Science Section | 2023 | $330,000 | September 1, 2023 | August 31, 2027 | Xuming He | nsf.gov |
| A statistical framework for the analysis of the evolution in shape and topological structure of random objects | NSF | Mathematical Science Section | 2023 | $329,639 | July 1, 2023 | June 30, 2027 | Anne M van Delft | nsf.gov |
| CAREER: Advances in Randomization Inference for Causal Effects: Heterogeneity, Sensitivity, and Complexity | NSF | Mathematical Science Section | 2024 | $328,108 | November 1, 2023 | June 30, 2028 | Xinran Li | nsf.gov |
| Prediction and inference for heterogeneous network data | NSF | Mathematical Science Section | 2026 | $325,000 | July 1, 2026 | June 30, 2029 | Elizaveta Levina | nsf.gov |
| Fractional Ridge Regression | NSF | Mathematical Science Section | 2023 | $320,000 | September 1, 2023 | August 31, 2027 | Leonard A Stefanski | nsf.gov |
| Analysis of Non-Gaussian Tensor Time Series | NSF | Mathematical Science Section | 2024 | $316,996 | August 1, 2024 | July 31, 2027 | Rong Chen | nsf.gov |
| Low-Rank Functional Data Analysis for Time-Resolved Spectroscopy and the Search for Earth-Like Exoplanets | NSF | Mathematical Science Section | 2022 | $304,670 | August 1, 2022 | July 31, 2026 | Thomas J Loredo | nsf.gov |
| CAREER: Causal Discovery: Methodology Driven by Practice | NSF | Mathematical Science Section | 2026 | $303,663 | July 1, 2026 | June 30, 2031 | Yu-hsuan S Wang | nsf.gov |
| Non-Gaussian Multivariate Processes for Renewable Energy and Finance | NSF | Mathematical Science Section | 2023 | $300,000 | September 1, 2023 | August 31, 2027 | William P Kleiber | nsf.gov |
| Nonparametric Testing: Efficiency and Distribution-freeness via Optimal Transportation | NSF | Mathematical Science Section | 2023 | $300,000 | July 1, 2023 | June 30, 2027 | Bodhisattva Sen | nsf.gov |
| Unravel machine learning blackboxes -- A general, effective and performance-guaranteed statistical framework for complex and irregular inference problems in data science | NSF | Mathematical Science Section | 2023 | $300,000 | July 1, 2023 | June 30, 2027 | Minge Xie | nsf.gov |
| Collaborative Research: Causal Discovery and Individualized Policy Optimization for Human Text Data | NSF | Mathematical Science Section | 2024 | $300,000 | September 1, 2024 | August 31, 2027 | Hengrui Cai | nsf.gov |
| New nonparametric theory and methods for censored data | NSF | Mathematical Science Section | 2024 | $300,000 | October 1, 2024 | September 30, 2027 | Bin Nan | nsf.gov |
| Computer-intensive methods for dependent and complex data | NSF | Mathematical Science Section | 2024 | $300,000 | June 15, 2024 | May 31, 2027 | Dimitris Politis | nsf.gov |
| Robust and efficient Bayesian inference for misspecified and underspecified models | NSF | Mathematical Science Section | 2024 | $300,000 | July 1, 2024 | June 30, 2027 | Steven N MacEachern | nsf.gov |
| Data-adaptive multivariate inference with finite sample guarantees | NSF | Mathematical Science Section | 2024 | $300,000 | August 1, 2024 | July 31, 2027 | Guenther Walther | nsf.gov |
| Distance-Based Analysis for Complex High-Dimensional Data | NSF | Division Of Mathematical Sciences | 2022 | $299,999 | October 1, 2021 | June 30, 2025 | Debashis Mondal | nsf.gov |
| Collaborative Research: Elements: Software and algorithms to advance likelihood-based inference for partially observed dynamic systems via differentiation and parallelization | NSF | Office of Advanced Cyberinfrastructure | 2026 | $299,999 | July 1, 2026 | June 30, 2029 | Edward L Ionides | nsf.gov |
| Testing and Deep Learning for Functional Data | NSF | Mathematical Science Section | 2022 | $299,997 | July 1, 2022 | June 30, 2025 | Jane-Ling Wang | nsf.gov |
| OODA: Statistics with geometric sample spaces | NSF | Mathematical Science Section | 2025 | $299,978 | August 1, 2025 | July 31, 2028 | James S Marron | nsf.gov |
| A new parametric model, likelihood methods, and other advancements for multivariate extremes | NSF | Mathematical Science Section | 2023 | $299,965 | July 1, 2023 | June 30, 2027 | Daniel Cooley | nsf.gov |
| Scalable Bayesian regression: Analytical and numerical tools for efficient Bayesian analysis in the large data regime | NSF | Mathematical Science Section | 2023 | $299,908 | September 1, 2023 | August 31, 2026 | Andrew Gelman | nsf.gov |
| Mathematical Foundations of Learning Complex Stochastic Systems | NSF | Mathematical Science Section | 2026 | $299,847 | August 15, 2026 | July 31, 2029 | Arnab Ganguly | nsf.gov |
| Theory for the Practice of Deep Learning: Insights into Autoencoder, LLM Fine-Tuning, and Transfer Learning | NSF | Mathematical Science Section | 2024 | $299,756 | August 1, 2024 | July 31, 2027 | Bin Yu | nsf.gov |
| Wasserstein guided nonparametric Bayes | NSF | Division Of Mathematical Sciences | 2024 | $299,669 | July 1, 2024 | June 30, 2025 | Debdeep Pati | nsf.gov |
| Wasserstein guided nonparametric Bayes | NSF | Mathematical Science Section | 2025 | $299,669 | May 15, 2025 | June 30, 2027 | Nicolas Garcia Trillos | nsf.gov |
| Distributional Reinforcement Learning for Risk-Sensitive Sequential Decision Making: New Theory and Methods | NSF | Mathematical Science Section | 2026 | $299,601 | July 1, 2026 | June 30, 2029 | Lan Wang | nsf.gov |
| Collaborative Research: Elements: Software and algorithms to advance likelihood-based inference for partially observed dynamic systems via differentiation and parallelization | NSF | Office of Advanced Cyberinfrastructure | 2026 | $297,157 | July 1, 2026 | June 30, 2029 | Giles Hooker | nsf.gov |
| Principled phylogenomic analysis without gene tree estimation | NSF | Mathematical Science Section | 2023 | $295,263 | August 1, 2023 | July 31, 2027 | Sebastien Roch | nsf.gov |
| Monitoring time series in structured function spaces | NSF | Mathematical Science Section | 2024 | $292,362 | July 1, 2024 | June 30, 2027 | Piotr S Kokoszka | nsf.gov |
| CAREER: Towards a general recipe for fast high-dimensional scientific computing | NSF | Mathematical Science Section | 2024 | $290,977 | February 15, 2024 | January 31, 2029 | Yuehaw Khoo | nsf.gov |
| Dimension Reduction and Data Visualization for Regression Analysis of Metric-Space-Valued Data | NSF | Division Of Mathematical Sciences | 2022 | $290,000 | August 1, 2022 | July 31, 2025 | Bing Li | nsf.gov |
| Estimation and Inference with High-Dimensional Data | NSF | Division Of Mathematical Sciences | 2022 | $289,999 | July 15, 2022 | June 30, 2025 | Cun-Hui Zhang | nsf.gov |
| Change Point Detection for Data with Network Structure | NSF | Mathematical Science Section | 2023 | $281,740 | January 15, 2023 | July 31, 2026 | George Michailidis | nsf.gov |
| Geometrization Approaches toward Understanding Deep Learning | NSF | Mathematical Science Section | 2023 | $275,000 | September 1, 2023 | August 31, 2027 | Weijie Su | nsf.gov |
| Robust and scalable algorithms for learning hidden structures in sparse network data with the aid of side information | NSF | Mathematical Science Section | 2023 | $275,000 | August 15, 2023 | July 31, 2027 | Adel Javanmard | nsf.gov |
| Geometry Aware Exploratory Data Analysis and Inference Methods for Complex Data | NSF | Mathematical Science Section | 2023 | $275,000 | July 1, 2023 | June 30, 2026 | Paromita Dubey | nsf.gov |
| Modeling Complex Functional Data and Random Objects in Metric Spaces | NSF | Mathematical Science Section | 2023 | $275,000 | June 15, 2023 | May 31, 2027 | Yaqing Chen | nsf.gov |
| Taming distribution shifts in statistical learning | NSF | Mathematical Science Section | 2023 | $275,000 | July 1, 2023 | June 30, 2026 | Cong Ma | nsf.gov |
| Making Use of the Curse of Dimensionality in Modern Data Analysis | NSF | Mathematical Science Section | 2023 | $275,000 | September 1, 2023 | August 31, 2027 | Hao Chen | nsf.gov |
| Collaborative Research: Network Analysis via Optimal Transport of Markov Embeddings | NSF | Mathematical Science Section | 2024 | $275,000 | August 1, 2024 | July 31, 2027 | Andrew B Nobel | nsf.gov |
| CAREER: Statistical Learning from a Modern Perspective: Over-parameterization, Regularization, and Generalization | NSF | Mathematical Science Section | 2022 | $274,090 | September 1, 2022 | August 31, 2028 | Yuting Wei | nsf.gov |
| CAREER: Perturbation Methods for Quantifying Uncertainties in Machine Learning Models | NSF | Mathematical Science Section | 2024 | $273,195 | July 1, 2024 | June 30, 2029 | Snigdha Panigrahi | nsf.gov |
| New Challenges in Statistical Inference with Regularized Optimal Transport | NSF | Division Of Mathematical Sciences | 2022 | $270,000 | July 1, 2022 | June 30, 2025 | Kengo Kato | nsf.gov |
| CAREER: Heavy-Tailed Priors for Robust Bayesian Inference in Ecology, Machine Learning, and Astronomy | NSF | Mathematical Science Section | 2025 | $270,000 | September 1, 2025 | August 31, 2030 | Jyotishka Datta | nsf.gov |
| Inference for Geometric and Topological Data Analysis | NSF | Mathematical Science Section | 2025 | $270,000 | July 15, 2025 | June 30, 2028 | Wolfgang Polonik | nsf.gov |
| CAREER: Theory and Methods for Nonparametric Estimation with Neural Networks | NSF | Mathematical Science Section | 2026 | $270,000 | July 1, 2026 | June 30, 2031 | OSCAR HERNAN MADRID PADILLA | nsf.gov |
| Advances in Game-Theoretic Statistics: e-Values for Testing, Estimation and Change Detection | NSF | Division Of Mathematical Sciences | 2026 | $270,000 | September 1, 2026 | October 31, 2026 | Aaditya K Ramdas | nsf.gov |
| Bridging Dynamics and Statistics: Transfer Entropy, Nonlinear Interactions and Transient Growth in Spatio-Temporal Extremes | NSF | Mathematical Science Section | 2026 | $270,000 | July 1, 2026 | June 30, 2029 | Christopher K Wikle | nsf.gov |
| Explainability and reproducibility in AI-powered science | NSF | Mathematical Science Section | 2026 | $270,000 | September 1, 2026 | August 31, 2029 | Chiara Sabatti | nsf.gov |
| Advances in Game-Theoretic Statistics: e-Values for Testing, Estimation and Change Detection | NSF | Mathematical Science Section | 2026 | $270,000 | September 15, 2026 | August 31, 2029 | Aaditya K Ramdas | nsf.gov |
| CAREER: Statistical Inference on Random Graphs and Hypergraphs: Geometry, Combinatorics, and Computation | NSF | Mathematical Science Section | 2024 | $269,998 | July 15, 2024 | June 30, 2029 | Cheng Mao | nsf.gov |
| CAREER: Statistical foundations of particle tracking and trajectory inference | NSF | Mathematical Science Section | 2024 | $269,975 | April 1, 2024 | March 31, 2029 | Jonathan Niles-Weed | nsf.gov |
| Novel p-Value Based Multiple Testing Methods for Variable Selection with False Discovery Rate Control | NSF | Mathematical Science Section | 2022 | $269,695 | July 1, 2022 | June 30, 2026 | Sanat K Sarkar | nsf.gov |
| Advances in Bayesian Model Selection under Misspecification | NSF | Mathematical Science Section | 2026 | $268,210 | July 1, 2026 | June 30, 2029 | Anirban Bhattacharya | nsf.gov |
| CAREER: Adaptive experiments towards learning treatment effect heterogeneity | NSF | Mathematical Science Section | 2023 | $263,607 | September 1, 2023 | August 31, 2029 | Jingshen Wang | nsf.gov |
| CAREER: Theoretical foundations for deep learning and large-scale AI models | NSF | Mathematical Science Section | 2024 | $262,117 | July 1, 2024 | June 30, 2029 | Song Mei | nsf.gov |
| Collaborative Research: Semiparametric and Reinforcement Learning for Precision Medicine | NSF | Mathematical Science Section | 2022 | $260,000 | August 15, 2022 | July 31, 2026 | Michael R Kosorok | nsf.gov |
| A shape-constrained approach for non-parametric variance estimation for Markov Chains | NSF | Mathematical Science Section | 2023 | $256,757 | September 1, 2023 | August 31, 2027 | Hyebin Song | nsf.gov |
| CAREER: Statistical Inference in High Dimensions using Variational Approximations | NSF | Mathematical Science Section | 2023 | $255,274 | July 1, 2023 | June 30, 2029 | Subhabrata Sen | nsf.gov |
| Collaborative Research: Non-Parametric Inference of Temporal Data | NSF | Mathematical Science Section | 2023 | $252,937 | September 1, 2023 | August 31, 2027 | Wei Biao Wu | nsf.gov |
| RCN-UBE: Statistical Thinking in Undergraduate Biology (STUB) Network: A network for coordinating the teaching and assessment of statistical thinking in introductory biology | NSF | Division of Biological Infrastructure | 2022 | $252,527 | April 1, 2022 | September 30, 2023 | Karen J McGaughey | nsf.gov |
| Collaborative Research: Learning and forecasting high-dimensional extremes: sparsity, causality, privacy | NSF | Mathematical Science Section | 2023 | $250,015 | August 15, 2023 | July 31, 2026 | Richard A Davis | nsf.gov |
| Scientific Findings across Multiple Environments: Replication, Robustness, and Equity in Genetic Association Studies | NSF | Division Of Mathematical Sciences | 2022 | $250,000 | September 1, 2022 | August 31, 2025 | Chiara Sabatti | nsf.gov |
| Experimental Design-based Weighted Sampling | NSF | Mathematical Science Section | 2023 | $250,000 | August 1, 2023 | July 31, 2027 | Roshan V Joseph | nsf.gov |
| Multiplex Generalized Dot Product Graph networks: theory and applications | NSF | Mathematical Science Section | 2023 | $250,000 | August 1, 2023 | July 31, 2027 | Marianna Pensky | nsf.gov |
| Applications of stochastic analysis to statistical inference for stationary and non-stationary Gaussian processes | NSF | Mathematical Science Section | 2023 | $250,000 | September 1, 2023 | August 31, 2026 | Frederi G Viens | nsf.gov |
| Statistical Learning and Inference for Network Data with Positive and Negative Edges | NSF | Mathematical Science Section | 2024 | $250,000 | July 1, 2024 | June 30, 2027 | Weijing Tang | nsf.gov |
| Learning Operators Between Infinite-Dimensional Hilbert Spaces | NSF | Mathematical Science Section | 2024 | $250,000 | September 1, 2024 | August 31, 2027 | Ambuj Tewari | nsf.gov |
| Collaborative Research: Multi-source Learning: Data-driven Algorithms, Optimality Theory, and Applications | NSF | Mathematical Science Section | 2024 | $250,000 | August 1, 2024 | July 31, 2027 | Tony Cai | nsf.gov |
| A Statistical Foundation of In-Context Learning and Chain-of-Thought Prompting with Large Language Models | NSF | Mathematical Science Section | 2024 | $250,000 | August 1, 2024 | July 31, 2027 | Zhuoran Yang | nsf.gov |
| Deep Learning for Survival Analysis, Causal Inference, and Conformal Inference, | NSF | Mathematical Science Section | 2024 | $250,000 | July 15, 2024 | June 30, 2027 | Jane-Ling Wang | nsf.gov |
| From Semi-supervised Learning to Prediction-powered Inference | NSF | Mathematical Science Section | 2025 | $250,000 | September 15, 2025 | August 31, 2028 | Daniela Witten | nsf.gov |
| Softmax mixture ensembles for leveraging LLM output | NSF | Mathematical Science Section | 2025 | $250,000 | August 15, 2025 | July 31, 2028 | Florentina Bunea | nsf.gov |
| Adaptive Inference by Stabilized Cross-Validation | NSF | Mathematical Science Section | 2025 | $250,000 | September 1, 2025 | August 31, 2028 | Jing Lei | nsf.gov |
| Reliable Methods for Estimation, Prediction and Causal Inference with Multiple AI-Generated Synthetic Datasets | NSF | Mathematical Science Section | 2026 | $250,000 | July 1, 2026 | June 30, 2029 | Jiwei Zhao | nsf.gov |
| Multi-Subject Multi-Dimensional Time Series: Tackling Challenges of Heterogeneity and Scale | NSF | Mathematical Science Section | 2026 | $250,000 | July 1, 2026 | June 30, 2029 | Vladas Pipiras | nsf.gov |
| CDS&E-MSS: Causal Induction in Sequential Decision Processes | NSF | Mathematical Science Section | 2023 | $249,999 | September 1, 2023 | August 31, 2027 | Qing Zhou | nsf.gov |
| High-Dimensional Random Forests Learning, Inference, and Beyond | NSF | Mathematical Science Section | 2023 | $249,999 | August 15, 2023 | July 31, 2026 | Yingying Fan | nsf.gov |
| CDS&E: Spectral Analysis of High-Dimensional Point Processes from Neuronal Spike Train Data | NSF | Mathematical Science Section | 2026 | $249,652 | September 15, 2026 | August 31, 2029 | Ali Shojaie | nsf.gov |
| Collaborative Research: Unlocking Complex Heterogeneity in Large Spatial-Temporal Data with Scalable Quantile Learning | NSF | Mathematical Science Section | 2024 | $248,742 | September 1, 2024 | August 31, 2027 | Lily Wang | nsf.gov |
| CAREER: New Challenges in Statistical Genetics: Mendelian Randomization, Integrated Omics and General Methodology | NSF | Mathematical Science Section | 2023 | $248,580 | May 1, 2023 | April 30, 2029 | Jingshu Wang | nsf.gov |
| CAREER: Single-Fidelity vs. Multi-Fidelity Computer Experiments: Unveiling the Effectiveness of Multi-Fidelity Emulation | NSF | Mathematical Science Section | 2024 | $246,016 | June 1, 2024 | May 31, 2029 | Chih-Li Sung | nsf.gov |
| Novel Analytical and Computational Approaches for Fusion and Analysis of Multi-Level and Multi-Scale Networks Data | NSF | Mathematical Science Section | 2023 | $245,404 | September 1, 2023 | August 31, 2027 | Ping Ma | nsf.gov |
| Generative Bayesian Inference | NSF | Mathematical Science Section | 2025 | $245,190 | July 15, 2025 | June 30, 2028 | Veronika Rockova | nsf.gov |
| CAREER: Beyond Multi-Index Models: Statistical and Algorithmic Foundations for Feature Learning in Compositional Architectures | NSF | Mathematical Science Section | 2026 | $244,168 | June 1, 2026 | May 31, 2031 | Feng Ruan | nsf.gov |
| CAREER: Inference for High-Dimensional Structures via Subspace Learning: Statistics, Computation, and Beyond | NSF | Mathematical Science Section | 2022 | $244,127 | October 1, 2021 | December 31, 2025 | Anru Zhang | nsf.gov |
| CAREER: Statistically Grounded Generative AI: Uncertainty Quantification and Principled Design | NSF | Mathematical Science Section | 2026 | $243,000 | September 1, 2026 | August 31, 2031 | Kaizheng Wang | nsf.gov |
| CAREER: Spectral techniques for modern statistical learning and data embedding: robustness, inference, and modeling | NSF | Mathematical Science Section | 2026 | $241,200 | August 1, 2026 | July 31, 2031 | Joshua Cape | nsf.gov |
| Theory and Methods for Modern Predictive Inference | NSF | Mathematical Science Section | 2023 | $240,000 | September 1, 2023 | August 31, 2027 | Jing Lei | nsf.gov |
| Physics Informed Forecast of High Resolution Spatio-Temporal Data with a Functional Spatial Regression Framework with PDE Smoothing | NSF | Mathematical Science Section | 2025 | $240,000 | August 1, 2025 | July 31, 2028 | Stefano Castruccio | nsf.gov |
| Bayesian Model Selection and Model Combination Using Novel Developments of Stein's Unbiased Risk Estimator | NSF | Division Of Mathematical Sciences | 2025 | $240,000 | August 1, 2025 | February 28, 2026 | Jonathan R Bradley | nsf.gov |
| Deeper Understanding of Mean-field Models | NSF | Mathematical Science Section | 2025 | $240,000 | July 1, 2025 | June 30, 2028 | Sumit Mukherjee | nsf.gov |
| Unsupervised Learning and Nonlinear Dimension Reduction: Advances with Optimal Transport, Empirical Bayes, and Variational Inference | NSF | Mathematical Science Section | 2025 | $240,000 | July 1, 2025 | June 30, 2028 | Bodhisattva Sen | nsf.gov |
| Efficient Data Removal Under High-dimensional Asymptotics with Applications to Risk Estimation and Machine Unlearning | NSF | Mathematical Science Section | 2025 | $240,000 | July 1, 2025 | June 30, 2028 | Mohammad Ali Maleki | nsf.gov |
| Nonlinear Functional Time Series Analysis | NSF | Mathematical Science Section | 2025 | $240,000 | July 1, 2025 | June 30, 2028 | Alexander Aue | nsf.gov |
| Bayesian Model Selection and Model Combination Using Novel Developments of Stein's Unbiased Risk Estimator | NSF | Mathematical Science Section | 2026 | $240,000 | January 1, 2026 | July 31, 2028 | Jonathan R Bradley | nsf.gov |
| Statistical estimation, inference, and discovery of complex PDEs using physics-informed neural networks | NSF | Mathematical Science Section | 2025 | $239,999 | August 1, 2025 | July 31, 2028 | Debarghya Mukherjee | nsf.gov |
| Frequency Domain Resampling Methods for Spatial Data | NSF | Mathematical Science Section | 2025 | $239,420 | September 1, 2025 | August 31, 2028 | Soutir Bandyopadhyay | nsf.gov |
| Collaborative Research: Modernizing Mixed Model Prediction | NSF | Division Of Mathematical Sciences | 2022 | $238,250 | September 1, 2022 | October 31, 2024 | Jonnagadda S Rao | nsf.gov |
| Collaborative Research: Modernizing Mixed Model Prediction | NSF | Mathematical Science Section | 2024 | $238,250 | September 15, 2024 | August 31, 2025 | Jonnagadda S Rao | nsf.gov |
| Summer Institute in Statistical Genetics | NSF | Division Of Environmental Biology | 2024 | $235,845 | May 1, 2024 | July 31, 2025 | Gregory C Gibson | nsf.gov |
| CAREER: Distribution-Free and Adaptive Statistical Inference | NSF | Mathematical Science Section | 2024 | $233,210 | January 15, 2024 | December 31, 2028 | Lihua Lei | nsf.gov |
| Causal Inference with Irregularly Spaced Observation Times | NSF | Division of Social and Economic Sciences | 2023 | $225,000 | September 1, 2023 | August 31, 2027 | Shu Yang | nsf.gov |
| Doubly-robust variable selection in high dimensions | NSF | Mathematical Science Section | 2023 | $225,000 | September 1, 2023 | August 31, 2027 | Eugene Katsevich | nsf.gov |
| Feature selection in several challenging directions | NSF | Mathematical Science Section | 2023 | $225,000 | September 1, 2023 | August 31, 2027 | Jiashun Jin | nsf.gov |
| New algorithms for Bayesian Computation | NSF | Mathematical Science Section | 2023 | $225,000 | September 1, 2023 | August 31, 2026 | Wing Hung Wong | nsf.gov |
| Simulation-based Inference through Random Features | NSF | Mathematical Science Section | 2023 | $225,000 | August 15, 2023 | July 31, 2027 | Cosma R Shalizi | nsf.gov |
| New Directions in Bayesian Model Criticism | NSF | Mathematical Science Section | 2023 | $225,000 | September 1, 2023 | August 31, 2026 | David Blei | nsf.gov |
| Statistical and Computational Guarantees of Estimation of Generative Models and Optimal Transport | NSF | Mathematical Science Section | 2024 | $225,000 | August 1, 2024 | July 31, 2027 | Huibin Zhou | nsf.gov |
| False Discovery Control in Non-Standard Settings | NSF | Mathematical Science Section | 2024 | $225,000 | July 1, 2024 | June 30, 2027 | Armeen Taeb | nsf.gov |
| Statistical Properties of Neural Networks | NSF | Mathematical Science Section | 2024 | $225,000 | July 1, 2024 | June 30, 2027 | Sourav Chatterjee | nsf.gov |
| Collaborative Research: FRGMS: Exploring hidden components in complex data: Geometry, uncertain quantifications, and dynamics | NSF | Mathematical Science Section | 2026 | $225,000 | August 15, 2026 | July 31, 2029 | Jiashun Jin | nsf.gov |
| Collaborative Research: FRGMS: Exploring hidden components in complex data: Geometry, uncertain quantifications, and dynamics | NSF | Mathematical Science Section | 2026 | $225,000 | August 15, 2026 | July 31, 2029 | Zheng Ke | nsf.gov |
| Smoothly-Stochastic Dynamics: Estimation and Inference for Differential Equation Models | NSF | Mathematical Science Section | 2026 | $225,000 | July 1, 2026 | June 30, 2029 | Giles Hooker | nsf.gov |
| Semiparametric Techniques for Data Exploitation across Heterogeneous Populations | NSF | Mathematical Science Section | 2023 | $224,999 | July 1, 2023 | June 30, 2027 | Jiwei Zhao | nsf.gov |
| Development of Modal Regression | NSF | Division Of Mathematical Sciences | 2022 | $220,000 | August 1, 2022 | July 31, 2025 | Weixin Yao | nsf.gov |
| Toward Automated Uncertainty Quantification in Causal Inference | NSF | Mathematical Science Section | 2023 | $220,000 | July 1, 2023 | June 30, 2027 | Yixin Wang | nsf.gov |
| Collaborative Research: Statistical Inference for High Dimensional and High Frequency Data: Contiguity, Matrix Decompositions, Uncertainty Quantification | NSF | Mathematical Science Section | 2024 | $219,268 | July 1, 2024 | June 30, 2027 | Per Mykland | nsf.gov |
| Collaborative Research: Design, Modeling and Active Learning of Quantitative-Sequence Experiments | NSF | Mathematical Science Section | 2023 | $213,036 | August 1, 2023 | July 31, 2027 | Abhyuday Mandal | nsf.gov |
| Collaborative Research: Unlocking Complex Heterogeneity in Large Spatial-Temporal Data with Scalable Quantile Learning | NSF | Mathematical Science Section | 2026 | $210,362 | August 1, 2026 | August 31, 2028 | Huixia J Wang | nsf.gov |
| Collaborative Research: Learning to learn with rigor: foundations of amortized inference | NSF | Mathematical Science Section | 2025 | $210,000 | September 1, 2025 | August 31, 2028 | Vinayak Rao | nsf.gov |
| Assessment of Regression Models with Noncontinuous Outcomes | NSF | Mathematical Science Section | 2022 | $203,498 | July 1, 2022 | June 30, 2026 | Lu Yang | nsf.gov |
| Randomized quasi-Monte Carlo sampling for scientific computing | NSF | Division Of Mathematical Sciences | 2022 | $200,000 | September 1, 2022 | August 31, 2025 | Art B Owen | nsf.gov |
| Statistical Methods for Analyzing Complex Structured and Count Data | NSF | Mathematical Science Section | 2022 | $200,000 | September 15, 2022 | August 31, 2026 | Fang Han | nsf.gov |
| Collaborative Research: Integrative Heterogeneous Learning for Intensive Complex Longitudinal Data | NSF | Mathematical Science Section | 2022 | $200,000 | August 1, 2022 | July 31, 2027 | Weining Shen | nsf.gov |
| Methodology for Qualitative Constraints in Semi-Parametric Models | NSF | Division Of Mathematical Sciences | 2022 | $200,000 | September 1, 2022 | August 31, 2025 | Arun K Kuchibhotla | nsf.gov |
| SCience-INtegrated Predictive modeLing (SCINPL): a novel framework for scalable and interpretable predictive scientific modeling | NSF | Division Of Mathematical Sciences | 2022 | $200,000 | August 1, 2022 | July 31, 2025 | Simon Mak | nsf.gov |
| Nonparametric Methodology for Learning from People: Inference, Algorithms, and Optimality | NSF | Division Of Mathematical Sciences | 2022 | $200,000 | July 1, 2022 | June 30, 2025 | Ashwin Pananjady | nsf.gov |
| Mean Field Asymptotics in Statistical Inference: Variational Approach, Multiple Testing, and Predictive Inference | NSF | Division Of Mathematical Sciences | 2022 | $200,000 | July 1, 2022 | June 30, 2025 | Song Mei | nsf.gov |
| Scalable Algorithm Design for Unbiased Estimation via Couplings of Markov Chain Monte Carlo Methods | NSF | Mathematical Science Section | 2022 | $200,000 | July 1, 2022 | June 30, 2026 | Guanyang Wang | nsf.gov |
| Learning Complex Stochastic Systems | NSF | Mathematical Science Section | 2023 | $200,000 | August 15, 2023 | July 31, 2027 | Arnab Ganguly | nsf.gov |
| RUI: Predictive models with Incomplete and Fragmented Observations, and New Advances in Virtual Re-sampling for Big Data | NSF | Mathematical Science Section | 2023 | $200,000 | September 1, 2023 | August 31, 2027 | Majid Mojirsheibani | nsf.gov |
| Knockoff Feature Selection Techniques for Robust Inference in Supervised and Unsupervised Learning | NSF | Mathematical Science Section | 2023 | $200,000 | August 1, 2023 | July 31, 2026 | Yushu Shi | nsf.gov |
| Collaborative Research: Learning and forecasting high-dimensional extremes: sparsity, causality, privacy | NSF | Mathematical Science Section | 2023 | $200,000 | August 15, 2023 | July 31, 2026 | Gennady Samorodnitsky | nsf.gov |
| Data-driven selection of a convex loss function via shape-constrained estimation | NSF | Mathematical Science Section | 2023 | $200,000 | July 1, 2023 | June 30, 2027 | Min Xu | nsf.gov |
| Collaborative Research: IMR: MM-1A: Functional Data Analysis-aided Learning Methods for Robust Wireless Measurements | NSF | Software & Systems Foundations | 2023 | $200,000 | October 1, 2023 | September 30, 2027 | Xuyu Wang | nsf.gov |
| Collaborative Research: Nonparametric Learning in High-Dimensional Survival Analysis for causal inference and sequential decision making | NSF | Mathematical Science Section | 2024 | $200,000 | July 1, 2024 | June 30, 2027 | Shanshan Ding | nsf.gov |
| The Design and Analysis of Experiments under the K-Nearest-Neighbors Interference Model | NSF | Mathematical Science Section | 2024 | $200,000 | August 1, 2024 | July 31, 2027 | Michael J Higgins | nsf.gov |
| Collaborative Research: Resampling bridges for complex data | NSF | Mathematical Science Section | 2025 | $200,000 | August 1, 2025 | July 31, 2028 | Daniel J Nordman | nsf.gov |
| Collaborative Research: CDS&E New Matrix-free Computation for Large Scale Spatial Analysis | NSF | Mathematical Science Section | 2026 | $200,000 | August 1, 2026 | July 31, 2029 | Somak Dutta | nsf.gov |
| Distribution-Free Inference for AI-in-Use: Addressing Multiplicity, Selectivity, and Adaptivity | NSF | Mathematical Science Section | 2026 | $200,000 | July 1, 2026 | June 30, 2029 | Ying Jin | nsf.gov |
| Nonparametric causal factor models for reliable generative AI | NSF | Mathematical Science Section | 2026 | $200,000 | June 1, 2026 | May 31, 2029 | Nikhyl B Aragam | nsf.gov |
| Collaborative Research: Privacy-Preserving Statistical Learning for High-Dimensional Spatial Omics | NSF | Mathematical Science Section | 2026 | $200,000 | September 1, 2026 | August 31, 2029 | Ying Ma | nsf.gov |
| Methods and Theory for Estimating Individual-Specific and Cell-Type-Specific Gene Networks | NSF | Division Of Mathematical Sciences | 2022 | $199,999 | September 1, 2022 | June 30, 2023 | Emma Jingfei Zhang | nsf.gov |
| Collaborative Research: Statistical Optimal Transport in High Dimensional Mixtures | NSF | Division Of Mathematical Sciences | 2022 | $199,999 | July 1, 2022 | June 30, 2025 | Florentina Bunea | nsf.gov |
| Developing Modern Spatial and Shape Analysis for New Heterogeneous High-dimensional Geospatial Data | NSF | Mathematical Science Section | 2022 | $199,999 | July 1, 2022 | June 30, 2026 | Qiwei Li | nsf.gov |
| U-statistic Reduction with Accurate Risk Control | NSF | Mathematical Science Section | 2023 | $199,999 | July 1, 2023 | June 30, 2027 | Yuan Zhang | nsf.gov |
| Collaborative Research: IMR: MM-1A: Scalable Statistical Methodology for Performance Monitoring, Anomaly Identification, and Mapping Network Accessibility from Active Measurements | NSF | Software & Systems Foundations | 2023 | $199,999 | October 1, 2023 | September 30, 2026 | George Michailidis | nsf.gov |
| Methods and Theory for Estimating Individual-Specific and Cell-Type-Specific Gene Networks | NSF | Mathematical Science Section | 2023 | $199,999 | January 1, 2023 | August 31, 2026 | Emma Jingfei Zhang | nsf.gov |
| Dynamic treatment regimes via smooth surrogate loss: theory, methods, and computational aspects | NSF | Mathematical Science Section | 2023 | $199,986 | September 1, 2023 | August 31, 2027 | Nilanjana Laha | nsf.gov |
| Fusion Pursuit for Pattern-Mixture Models with Application to Longitudinal Studies with Nonignorable Missing Data | NSF | Mathematical Science Section | 2023 | $199,978 | September 1, 2023 | August 31, 2027 | Lu Tang | nsf.gov |
| Unsupervised and Semisupervised Heterogeneity Analysis Based on Gaussian Graphical Models | NSF | Mathematical Science Section | 2022 | $199,661 | September 1, 2022 | August 31, 2027 | Shuangge Ma | nsf.gov |
| Multiscale random matrices, inference and learning in high dimensions | NSF | Mathematical Science Section | 2025 | $199,626 | August 1, 2025 | July 31, 2028 | Gustavo Didier | nsf.gov |
| Collaborative Research: NSF MPS/DMS-EPSRC: Stochastic Shape Processes and Inference | NSF | Mathematical Science Section | 2024 | $199,555 | August 1, 2024 | July 31, 2027 | Sebastian A Kurtek | nsf.gov |
| Collaborative Research: Theoretical and Algorithmic Foundations of Variational Bayesian Inference | NSF | Division Of Mathematical Sciences | 2022 | $199,338 | July 1, 2022 | September 30, 2025 | Anirban Bhattacharya | nsf.gov |
| Robust Treatment-Effect Learning Beyond Binary Treatments: Stabilized Weighting with Deep Representation | NSF | Mathematical Science Section | 2026 | $199,065 | July 1, 2026 | June 30, 2029 | Shujie Ma | nsf.gov |
| Collaborative Research: Integrating Multimodal Data in AI for Precision Medicine | NSF | Mathematical Science Section | 2026 | $198,113 | September 1, 2026 | August 31, 2029 | Xinyi Li | nsf.gov |
| NSF-SNSF: Functional data analysis for complex systems | NSF | Mathematical Science Section | 2024 | $198,112 | September 1, 2024 | August 31, 2028 | Sreekalyani S Bhamidi | nsf.gov |
| Collaborative Research: Multiple Hypothesis Testing on the Regression Analysis | NSF | Mathematical Science Section | 2023 | $197,007 | August 1, 2023 | June 30, 2027 | Zhigen Zhao | nsf.gov |
| Modeling Multivariate and Space-Time Processes: Foundations and Innovations | NSF | Division Of Mathematical Sciences | 2023 | $195,596 | October 1, 2023 | October 31, 2023 | Pulong Ma | nsf.gov |
| Modeling Multivariate and Space-Time Processes: Foundations and Innovations | NSF | Mathematical Science Section | 2023 | $195,596 | October 1, 2023 | September 30, 2026 | Pulong Ma | nsf.gov |
| Minipatch Learning for Selection, Stability, Inference, and Scalability | NSF | Mathematical Science Section | 2025 | $195,479 | February 1, 2025 | July 31, 2026 | Genevera Allen | nsf.gov |
| Scalable and Generalizable Inference for Network Data | NSF | Mathematical Science Section | 2024 | $192,565 | July 1, 2024 | June 30, 2027 | Srijan Sengupta | nsf.gov |
| Multivariate Marked Point Process Fusion and Statistical Emulation for Uncertainty Quantification in Geophysical Extremes | NSF | Mathematical Science Section | 2026 | $192,147 | September 1, 2026 | August 31, 2029 | Whitney Huang | nsf.gov |
| Developing Conjugate Models for Exact MCMC free Bayesian Inference with Application to High-Dimensional Spatio-Temporal Data | NSF | Division Of Mathematical Sciences | 2023 | $189,130 | September 1, 2023 | September 30, 2025 | Jonathan R Bradley | nsf.gov |
| Collaborative Research: Design, Modeling and Active Learning of Quantitative-Sequence Experiments | NSF | Mathematical Science Section | 2023 | $181,968 | August 1, 2023 | July 31, 2026 | Xinwei Deng | nsf.gov |
| Statistical Problems Through a New Perturbation Theory | NSF | Mathematical Science Section | 2023 | $181,629 | September 1, 2023 | December 31, 2025 | Van Vu | nsf.gov |
| CAREER: New Frameworks for Ethical Statistical Learning: Algorithmic Fairness and Privacy | NSF | Mathematical Science Section | 2024 | $180,180 | July 1, 2024 | June 30, 2030 | Linjun Zhang | nsf.gov |
| Collaborative Research: Novel modeling and Bayesian analysis of high-dimensional time series | NSF | Division Of Mathematical Sciences | 2022 | $180,000 | September 1, 2022 | August 31, 2025 | Subhashis Ghoshal | nsf.gov |
| Discriminant Analysis in High-Dimensional Latent Factor Models | NSF | Division Of Mathematical Sciences | 2022 | $180,000 | August 1, 2022 | July 31, 2025 | Marten H Wegkamp | nsf.gov |
| Random Matrices with Application to Quantum Computing and Econometrics | NSF | Mathematical Science Section | 2022 | $180,000 | August 15, 2022 | July 31, 2025 | Tiefeng Jiang | nsf.gov |
| Statistical Entropic Optimal Transport: Theory, Methods and Applications | NSF | Mathematical Science Section | 2024 | $180,000 | July 1, 2024 | June 30, 2027 | Gonzalo E Mena | nsf.gov |
| Trusted selective and predictive inference tools for modern data-driven applications | NSF | Mathematical Science Section | 2024 | $180,000 | July 1, 2024 | June 30, 2027 | Zhimei Ren | nsf.gov |
| Collaborative Research: Statistical Optimal Transport: Foundation, Computation and Applications | NSF | Mathematical Science Section | 2024 | $180,000 | July 1, 2024 | June 30, 2027 | Xiaohui Chen | nsf.gov |
| New Approaches to Sensitivity Analysis in Observational Studies | NSF | Mathematical Science Section | 2024 | $180,000 | September 1, 2024 | August 31, 2027 | Colin B Fogarty | nsf.gov |
| Nonparametric estimation in causal inference: optimality in traditional models and newer ones | NSF | Mathematical Science Section | 2024 | $180,000 | August 1, 2024 | July 31, 2027 | Matteo Bonvini | nsf.gov |
| Statistical Understanding of Adversarial Training in Neural Networks | NSF | Mathematical Science Section | 2025 | $180,000 | August 15, 2025 | July 31, 2028 | Yue Xing | nsf.gov |
| Collaborative Research: Ranking of Entities | NSF | Mathematical Science Section | 2025 | $180,000 | September 1, 2025 | August 31, 2028 | Gauri Datta | nsf.gov |
| Fast, Flexible, and Accurate Covariance Models for Gaussian Processes | NSF | Mathematical Science Section | 2026 | $180,000 | July 15, 2026 | June 30, 2029 | Christopher J Geoga | nsf.gov |
| Collaborative Research: Learning of Multivariate Multi-replication Point Process Data | NSF | Mathematical Science Section | 2026 | $180,000 | July 15, 2026 | June 30, 2029 | Lexin Li | nsf.gov |
| Statistical and Computational Tools for Analyzing High-Dimensional Heterogeneous Data | NSF | Mathematical Science Section | 2022 | $179,999 | August 1, 2022 | July 31, 2026 | Kaizheng Wang | nsf.gov |
| LEAPS-MPS: Computational Modeling to Characterize and Attribute Uncertainty in Future Coastal Risk | NSF | Division Of Mathematical Sciences | 2022 | $179,999 | September 1, 2022 | August 31, 2025 | Anthony E Wong | nsf.gov |
| Collaborative Research: Synergies between Steins Identities and Reproducing Kernels: Modern Tools for Nonparametric Statistics | NSF | Mathematical Science Section | 2024 | $179,999 | July 1, 2024 | June 30, 2027 | Bharath Sriperumbudur | nsf.gov |
| High-Dimensional Asymptotics of Estimation Under Privacy and Computational Constraints | NSF | Mathematical Science Section | 2026 | $179,999 | July 1, 2026 | June 30, 2029 | Rishabh Dudeja | nsf.gov |
| Collaborative Research: Use of Random Compression Matrices For Scalable Inference in High Dimensional Structured Regressions | NSF | Mathematical Science Section | 2022 | $179,988 | June 15, 2022 | May 31, 2026 | Rajarshi Guhaniyogi | nsf.gov |
| High-Dimensional Nonstationary Processes for Spatial Analysis and Machine Learning | NSF | Mathematical Science Section | 2022 | $179,970 | September 1, 2022 | August 31, 2025 | Huiyan Sang | nsf.gov |
| Efficient Bayesian Computations for Inference from Privatized Data | NSF | Mathematical Science Section | 2026 | $179,961 | September 1, 2026 | August 31, 2029 | Nianqiao Ju | nsf.gov |
| Collaborative Research: Efficient Individualized Treatment Selection for Personalized Medicine | NSF | Mathematical Science Section | 2026 | $179,183 | April 1, 2026 | August 31, 2028 | Yufeng Liu | nsf.gov |
| Graphical Modeling of High-Dimensional Functional Data: Separability Structures and Unified Methodology under General Observational Designs | NSF | Mathematical Science Section | 2023 | $178,859 | August 1, 2023 | July 31, 2027 | Alexander M Petersen | nsf.gov |
| CAREER: Next-Generation Methods for Statistical Integration of High-Dimensional Disparate Data Sources | NSF | Mathematical Science Section | 2024 | $178,600 | March 1, 2024 | May 31, 2026 | Irina Gaynanova | nsf.gov |
| Numerical Construction of Optimal Estimators Using Machine Learning Tools | NSF | Mathematical Science Section | 2022 | $175,000 | September 15, 2022 | August 31, 2025 | Alex Luedtke | nsf.gov |
| Nonparametric Estimation via Mixed Derivatives | NSF | Mathematical Science Section | 2022 | $175,000 | July 1, 2022 | June 30, 2025 | Adityanand Guntuboyina | nsf.gov |
| Collaborative Research: Statistical Optimal Transport in High Dimensional Mixtures | NSF | Division Of Mathematical Sciences | 2022 | $175,000 | July 1, 2022 | June 30, 2025 | Jonathan Niles-Weed | nsf.gov |
| Semiparametric Efficient and Robust Inference on High-Dimensional Data | NSF | Mathematical Science Section | 2023 | $175,000 | June 15, 2023 | May 31, 2026 | Yen-Chi Chen | nsf.gov |
| Statistical Inferences under Monotonic Hazard Trend in Survival Analysis | NSF | Mathematical Science Section | 2023 | $175,000 | August 1, 2023 | July 31, 2027 | Chuan-Fa Tang | nsf.gov |
| Trustworthy Reinforcement Learning: Inference, Reproducibility, and Adaptivity | NSF | Mathematical Science Section | 2023 | $175,000 | August 1, 2023 | July 31, 2026 | Koulik Khamaru | nsf.gov |
| Self-Normalized Inference for High-Dimensional Time Series | NSF | Mathematical Science Section | 2024 | $175,000 | August 1, 2024 | July 31, 2027 | Ting Zhang | nsf.gov |
| Collaborative Research: Statistical Modeling and Inference for Object-valued Time Series | NSF | Mathematical Science Section | 2024 | $175,000 | July 1, 2024 | June 30, 2027 | Changbo Zhu | nsf.gov |
| Generative Models for Predictive Insights and Inference in Multimodal Data | NSF | Mathematical Science Section | 2025 | $175,000 | August 15, 2025 | July 31, 2028 | Xiaotong T Shen | nsf.gov |
| Collaborative Research: NSF-SNSF: Tail-robust Analysis of High-dimensional Nonstationary Time Series | NSF | Mathematical Science Section | 2025 | $175,000 | September 1, 2025 | August 31, 2028 | Yuan Ke | nsf.gov |
| Collaborative Research: NSF-SNSF: Tail-robust Analysis of High-dimensional Nonstationary Time Series | NSF | Mathematical Science Section | 2025 | $175,000 | September 1, 2025 | August 31, 2028 | Runze Li | nsf.gov |
| Enhancing Reliable Data Sciences: Statistical Analysis for High-dimensional and Noisy Datasets with Complex Temporal and Nonlinear Structures | NSF | Mathematical Science Section | 2025 | $175,000 | July 1, 2025 | June 30, 2028 | Xiucai Ding | nsf.gov |
| Active Sequential Change-Point Detection for High-dimensional Streaming Data | NSF | Mathematical Science Section | 2025 | $175,000 | September 1, 2025 | August 31, 2028 | Yajun Mei | nsf.gov |
| Statistical Frameworks for Self-Supervised Representation Learning and Their Biomedical Applications | NSF | Mathematical Science Section | 2025 | $175,000 | July 1, 2025 | June 30, 2028 | Shulei Wang | nsf.gov |
| Hunt-and-Test Procedures: Design and Derandomization | NSF | Mathematical Science Section | 2025 | $175,000 | September 1, 2025 | August 31, 2028 | Richard Guo | nsf.gov |
| Advancing nonparametric regression: from convex multi-index and Bayesian models to BART and neural networks | NSF | Mathematical Science Section | 2025 | $175,000 | August 15, 2025 | July 31, 2028 | Adityanand Guntuboyina | nsf.gov |
| Causal Inference under Interference: External Validity | NSF | Mathematical Science Section | 2025 | $175,000 | September 1, 2025 | August 31, 2028 | Michael Schweinberger | nsf.gov |
| Novel Bayesian Frameworks for Measurement Error Problems in Complex Multivariate Data | NSF | Mathematical Science Section | 2025 | $175,000 | August 15, 2025 | July 31, 2028 | Abhra Sarkar | nsf.gov |
| Random Matrix Theory and Manifold Learning for High-Dimensional Data Integration | NSF | Mathematical Science Section | 2026 | $175,000 | July 1, 2026 | June 30, 2029 | Rong Ma | nsf.gov |
| Collaborative Research: BEGIN with Data Bits: Leveraging Atomic Linearity for Multi-Resolution Statistical Inference and Machine Learning Interpretability | NSF | Mathematical Science Section | 2026 | $175,000 | July 1, 2026 | June 30, 2029 | Xiao-Li Meng | nsf.gov |
| Data integration for heterogeneous data: A general framework for distribution shift, posterior drift and block missing data | NSF | Division Of Mathematical Sciences | 2025 | $174,999 | August 15, 2025 | July 31, 2026 | Annie Qu | nsf.gov |
| Innovations in Integrative Association Testing for Large Genetic Data | NSF | Mathematical Science Section | 2025 | $174,999 | August 15, 2025 | July 31, 2028 | Zheyang Wu | nsf.gov |
| Collaborative Research: BEGIN with Data Bits: Leveraging Atomic Linearity for Multi-Resolution Statistical Inference and Machine Learning Interpretability | NSF | Mathematical Science Section | 2026 | $174,999 | July 1, 2026 | June 30, 2029 | Kai Zhang | nsf.gov |
| Data integration for heterogeneous data: A general framework for distribution shift, posterior drift and block missing data | NSF | Mathematical Science Section | 2026 | $174,999 | June 15, 2026 | July 31, 2028 | Annie Qu | nsf.gov |
| Robust Extensions to Bayesian Regression Trees for Complex Data | NSF | Mathematical Science Section | 2024 | $174,998 | August 1, 2024 | July 31, 2027 | HENGRUI LUO | nsf.gov |
| Tackling High Dimensionality for Modern Machine Learning: Theory and Visualization | NSF | Mathematical Science Section | 2024 | $174,717 | July 1, 2024 | June 30, 2027 | Yiqiao Zhong | nsf.gov |
| Collaborative Research: Statistical Modeling and Inference for Object-valued Time Series | NSF | Mathematical Science Section | 2025 | $174,344 | January 1, 2025 | June 30, 2027 | Xiaofeng Shao | nsf.gov |
| Advances in High-dimensional Time Series Modeling and Its Interface with Deep Learning | NSF | Mathematical Science Section | 2023 | $174,160 | September 1, 2023 | August 31, 2026 | Yao Zheng | nsf.gov |
| CAREER: High-Dimensional Learning and Inference from Heterogeneous Data Sources | NSF | Mathematical Science Section | 2025 | $174,017 | May 1, 2025 | June 30, 2030 | Pragya Sur | nsf.gov |
| CAREER: Robust Learning from Preference Feedback | NSF | Mathematical Science Section | 2025 | $173,964 | October 1, 2025 | September 30, 2030 | Cong Ma | nsf.gov |
| Collaborative Research: Non-Parametric Inference of Temporal Data | NSF | Mathematical Science Section | 2023 | $173,740 | September 1, 2023 | August 31, 2026 | Hongyuan Cao | nsf.gov |
| CAREER: Distributional Approximation for Sharp Finite Sample Bounds with Applications to Dependent Data and Complex Estimators | NSF | Mathematical Science Section | 2025 | $173,023 | May 1, 2025 | June 30, 2030 | Morgane Austern | nsf.gov |
| CAREER: Statistical Advances in Topological Data Analysis with Applications to Astronomy | NSF | Mathematical Science Section | 2024 | $170,947 | July 15, 2024 | June 30, 2030 | Jessica J Kehe | nsf.gov |
| Collaborative Research: Emerging Variants of Generalized Fiducial Inference | NSF | Mathematical Science Section | 2022 | $170,000 | September 1, 2022 | August 31, 2026 | Thomas Chun Man Lee | nsf.gov |
| Next-Generation Functional Data Analysis via Machine Learning | NSF | Mathematical Science Section | 2024 | $170,000 | July 1, 2024 | June 30, 2027 | Guanqun Cao | nsf.gov |
| Experimental Design, Uncertainty Quantification and Decision Making for Complex Systems | NSF | Mathematical Science Section | 2024 | $170,000 | August 1, 2024 | July 31, 2027 | Qiong Zhang | nsf.gov |
| Analyzing Weak Spikes via Cycle Counts: Estimation, Testing, and Computation | NSF | Mathematical Science Section | 2026 | $170,000 | September 1, 2026 | August 31, 2029 | Jingming Wang | nsf.gov |
| Uncertainty Quantification for Low-Rank Factorization Models in Complex Setups: Theory, Computation, and Applications | NSF | Mathematical Science Section | 2026 | $170,000 | July 15, 2026 | June 30, 2029 | Fangzheng Xie | nsf.gov |
| Collaborative Research: Synergies between Steins Identities and Reproducing Kernels: Modern Tools for Nonparametric Statistics | NSF | Mathematical Science Section | 2024 | $169,999 | July 1, 2024 | June 30, 2027 | Krishnakumar Balasubramanian | nsf.gov |
| CAREER: New data integration approaches for efficient and robust meta-estimation, model fusion and transfer learning | NSF | Mathematical Science Section | 2026 | $169,665 | August 1, 2026 | May 31, 2029 | Emily C Hector | nsf.gov |
| CAREER: Statistical Inference in Observational Studies -- Theory, Methods, and Beyond | NSF | Mathematical Science Section | 2024 | $169,343 | July 1, 2024 | June 30, 2030 | Rajarshi Mukherjee | nsf.gov |
| Dynamic Modeling and Risk Prediction with Complex Observational Semi-Competing Risks Data | NSF | Mathematical Science Section | 2024 | $168,894 | November 15, 2023 | August 31, 2027 | Hong Zhu | nsf.gov |
| Matching and Data Integration | NSF | Mathematical Science Section | 2023 | $165,535 | July 1, 2023 | June 30, 2025 | Zongming Ma | nsf.gov |
| EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems | NSF | Division Of Astronomical Sciences | 2024 | $163,265 | April 1, 2024 | March 31, 2025 | Peter S Behroozi | nsf.gov |
| Statistical Methods for Response Process Data | NSF | Mathematical Science Section | 2023 | $161,680 | August 1, 2023 | July 31, 2027 | Xueying Tang | nsf.gov |
| Collaborative Research: Emerging Variants of Generalized Fiducial Inference | NSF | Mathematical Science Section | 2022 | $160,000 | September 1, 2022 | August 31, 2026 | Jan Hannig | nsf.gov |
| Dependable Predictive Inference with Uncertainty-Aware Machine Learning | NSF | Division Of Mathematical Sciences | 2022 | $160,000 | August 15, 2022 | July 31, 2025 | Matteo Sesia | nsf.gov |
| Game-theoretic statistics and safe anytime-valid inference | NSF | Mathematical Science Section | 2023 | $160,000 | August 1, 2023 | July 31, 2026 | Aaditya K Ramdas | nsf.gov |
| Robustness and Optimality of Estimation and Testing | NSF | Mathematical Science Section | 2023 | $160,000 | October 1, 2023 | September 30, 2026 | Chao Gao | nsf.gov |
| Finite multivariate density mixtures: applications and new approaches | NSF | Mathematical Science Section | 2023 | $160,000 | July 1, 2023 | June 30, 2027 | Michael Levine | nsf.gov |
| Safe and Robust Causal Inference for High-Dimensional Complex Data | NSF | Mathematical Science Section | 2023 | $160,000 | August 1, 2023 | July 31, 2026 | Yang Ning | nsf.gov |
| Collaborative Research: Partial Priors, Regularization, and Valid & Efficient Probabilistic Structure Learning | NSF | Mathematical Science Section | 2024 | $160,000 | July 1, 2024 | June 30, 2027 | Ryan Martin | nsf.gov |
| Collaborative Research: Partial Priors, Regularization, and Valid & Efficient Probabilistic Structure Learning | NSF | Mathematical Science Section | 2024 | $160,000 | July 1, 2024 | June 30, 2027 | Chuanhai Liu | nsf.gov |
| Collaborative Research: Statistical Optimal Transport: Foundation, Computation and Applications | NSF | Mathematical Science Section | 2024 | $160,000 | July 1, 2024 | June 30, 2027 | Kengo Kato | nsf.gov |
| ABCel: An Empirical Likelihood-based Method for Approximate Bayesian Computation | NSF | Mathematical Science Section | 2024 | $160,000 | September 1, 2024 | August 31, 2027 | Sanjay Chaudhuri | nsf.gov |
| Collaborative Research: Experimental Design, Surrogate Modeling, and Sensitivity Analysis for Complex Computer Experiments | NSF | Mathematical Science Section | 2026 | $160,000 | September 1, 2026 | August 31, 2029 | Chenlu Shi | nsf.gov |
| Collaborative Research: Learning of Multivariate Multi-replication Point Process Data | NSF | Mathematical Science Section | 2026 | $159,999 | July 15, 2026 | June 30, 2029 | Kuang-Yao Lee | nsf.gov |
| Robust Classification and uncertainty quantification for non-iid samples | NSF | Mathematical Science Section | 2023 | $159,979 | September 1, 2023 | August 31, 2027 | Leying Guan | nsf.gov |
| Collaborative Research: Performance Guaranteed Statistical Learning with Multiple Classes of Models (guided by PCS) | NSF | Mathematical Science Section | 2025 | $159,940 | August 15, 2025 | July 31, 2028 | Minge Xie | nsf.gov |
| Collaborative Research: Generative Bootstrapping Methods for Massive Dependent Data | NSF | Mathematical Science Section | 2026 | $159,813 | September 1, 2026 | August 31, 2029 | Ting Fung Ma | nsf.gov |
| Causal and Structural Inference for Heterogeneous Network Interference | NSF | Mathematical Science Section | 2025 | $155,647 | July 15, 2025 | June 30, 2028 | Yubai Yuan | nsf.gov |
| Collaborative Research: New Bayesian Causal Methods for Personalized Decision-Making Under Unmeasured Confounding | NSF | Mathematical Science Section | 2026 | $155,512 | June 1, 2026 | May 31, 2029 | Yanxun Xu | nsf.gov |
| Collaborative Research: Statistical Inference for High Dimensional and High Frequency Data: Contiguity, Matrix Decompositions, Uncertainty Quantification | NSF | Mathematical Science Section | 2024 | $155,372 | July 1, 2024 | June 30, 2027 | Lan Zhang | nsf.gov |
| Causal Inference in the Presence of Interference for Randomized Experiments | NSF | Mathematical Science Section | 2025 | $155,146 | September 1, 2025 | August 31, 2027 | David Choi | nsf.gov |
| New Methods for Scalable and Robust Simulation-Based Inference | NSF | Mathematical Science Section | 2025 | $155,000 | September 1, 2025 | August 31, 2028 | Yuexi Wang | nsf.gov |
| Adaptive Data Integration: Harnessing Commonality amidst Heterogeneity | NSF | Mathematical Science Section | 2025 | $155,000 | August 1, 2025 | July 31, 2028 | Kaizheng Wang | nsf.gov |
| Addressing Data Scarcity in Reinforcement Learning: Inference and Decision-Making under Complex Environments | NSF | Mathematical Science Section | 2025 | $154,999 | August 1, 2025 | July 31, 2028 | Yongyi Guo | nsf.gov |
| Collaborative Research: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Process Modeling | NSF | Mathematical Science Section | 2023 | $154,774 | June 15, 2023 | July 31, 2026 | Pulong Ma | nsf.gov |
| Collaborative Research: NSF MPS/DMS-EPSRC: Stochastic Shape Processes and Inference | NSF | Mathematical Science Section | 2026 | $153,870 | January 15, 2026 | July 31, 2027 | Anuj Srivastava | nsf.gov |
| Uncertainty quantification for iterative algorithms | NSF | Mathematical Science Section | 2024 | $153,714 | July 1, 2024 | June 30, 2028 | Pierre C Bellec | nsf.gov |
| Applications of Algebraic Geometry to Multivariate Gaussian Models | NSF | Mathematical Science Section | 2023 | $153,244 | July 1, 2023 | June 30, 2027 | Marisa C Eisenberg | nsf.gov |
| CAREER: Extending the reach of empirical Bayes: Calibration, nuisance parameters, likelihood asymptotics, and machine learning | NSF | Mathematical Science Section | 2025 | $152,943 | June 1, 2025 | May 31, 2030 | Nikolaos Ignatiadis | nsf.gov |
| RUI: A Family of Versatile Mixture Models for Analyzing Mixed-Type Data with Asymmetry, Outliers, and Missing Values | NSF | Mathematical Science Section | 2022 | $150,000 | July 15, 2022 | June 30, 2025 | Cristina Tortora | nsf.gov |
| Leveraging Background Knowledge for Identification and Estimation of Causal Effects in the Presence of Latent Variables | NSF | Mathematical Science Section | 2022 | $150,000 | September 1, 2022 | August 31, 2025 | Emilija Perkovic | nsf.gov |
| Modeling and Inference for Data with Network Dependency | NSF | Mathematical Science Section | 2022 | $150,000 | August 1, 2022 | July 31, 2025 | Kehui Chen | nsf.gov |
| Copula-Based Methods for Multivariate Survival Analysis | NSF | Mathematical Science Section | 2022 | $150,000 | August 15, 2022 | July 31, 2026 | Qian Zhou | nsf.gov |
| Collaborative Research: Design-Based Optimal Subdata Selection Using Mixture-of-Experts Models to Account for Big Data Heterogeneity | NSF | Mathematical Science Section | 2022 | $150,000 | August 15, 2022 | July 31, 2026 | Min Yang | nsf.gov |
| Collaborative Research: Learning Graphical Models for Nonstationary Time Series | NSF | Division Of Mathematical Sciences | 2022 | $150,000 | July 1, 2022 | June 30, 2025 | Sumanta Basu | nsf.gov |
| Exploring and Solidifying Functional Calibration of Computer Models | NSF | Mathematical Science Section | 2022 | $150,000 | August 15, 2022 | July 31, 2026 | Derek A Brown | nsf.gov |
| Collaborative Research: Learning Graphical Models for Nonstationary Time Series | NSF | Mathematical Science Section | 2022 | $150,000 | July 1, 2022 | June 30, 2026 | Suhasini Subba Rao | nsf.gov |
| Latent Dependence and Identifiable, Graphical, Deep Modeling of Discrete Latent Variables | NSF | Mathematical Science Section | 2022 | $150,000 | September 1, 2022 | August 31, 2026 | Yuqi Gu | nsf.gov |
| Spectral methods for single and multiple graph inference | NSF | Mathematical Science Section | 2022 | $150,000 | August 1, 2022 | July 31, 2025 | Minh Tang | nsf.gov |
| Uniform inference on continuous treatment effects via artificial neural networks in digital health | NSF | Mathematical Science Section | 2023 | $150,000 | July 1, 2023 | June 30, 2027 | Shujie Ma | nsf.gov |
| Optimization of Markov Chain Monte Carlo Schemes with Spectral Gap Estimation | NSF | Mathematical Science Section | 2023 | $150,000 | September 1, 2023 | August 31, 2027 | Quan Zhou | nsf.gov |
| Scalable Entity Resolution for Massive and Streaming Data Contexts | NSF | Mathematical Science Section | 2024 | $150,000 | September 1, 2024 | August 31, 2027 | Andrea J Kaplan | nsf.gov |
| Collaborative Research: Causal Discovery and Individualized Policy Optimization for Human Text Data | NSF | Mathematical Science Section | 2024 | $150,000 | September 1, 2024 | August 31, 2027 | Jiayi Wang | nsf.gov |
| RUI: Inference and Variable Selection in Volatility Models | NSF | Mathematical Science Section | 2024 | $150,000 | September 1, 2024 | August 31, 2027 | Adriano Z Zambom | nsf.gov |
| Objective and reliable methods for inference from modern omics data | NSF | Mathematical Science Section | 2024 | $150,000 | September 1, 2024 | August 31, 2027 | Aaron J Molstad | nsf.gov |
| Subsampling Based Inference for Large Networks | NSF | Mathematical Science Section | 2024 | $150,000 | August 15, 2024 | July 31, 2027 | Yuguo Chen | nsf.gov |
| Advancing Nonparametric Online Inference: Optimal Uncertainty Quantification and Decision-Making for Streaming Data | NSF | Mathematical Science Section | 2024 | $150,000 | August 15, 2024 | July 31, 2027 | Meimei Liu | nsf.gov |
| Design-Based Subsampling for Labeling Large and High-Dimensional Datasets | NSF | Mathematical Science Section | 2024 | $150,000 | September 1, 2024 | August 31, 2027 | Lin Wang | nsf.gov |
| Modeling and Inference for Long-Term Effects | NSF | Mathematical Science Section | 2024 | $150,000 | August 15, 2024 | July 31, 2027 | Yaqi Duan | nsf.gov |
| Interpretable, stable and scalable machine learning and statistical inference | NSF | Mathematical Science Section | 2025 | $150,000 | August 15, 2025 | July 31, 2028 | Garvesh Raskutti | nsf.gov |
| Robust Data-Driven Decision-Making: Human-AI Alignment, Adaptivity, and Optimality | NSF | Mathematical Science Section | 2025 | $150,000 | August 15, 2025 | July 31, 2028 | Changxiao Cai | nsf.gov |
| Embedding learning for complex and heterogeneous networks | NSF | Mathematical Science Section | 2025 | $150,000 | August 15, 2025 | July 31, 2028 | Yinqiu He | nsf.gov |
| Flexible and Scalable Cluster Analysis of Longitudinal Microbiome Data to Define Functional Groups | NSF | Mathematical Science Section | 2025 | $150,000 | August 15, 2025 | July 31, 2028 | Yuan Jiang | nsf.gov |
| Collaborative Research: Change Point Testing and Estimation with Irregular Signals | NSF | Mathematical Science Section | 2026 | $150,000 | September 1, 2026 | August 31, 2029 | Ting Zhang | nsf.gov |
| Collaborative Research: Statistical Foundations for Scalable and Robust Data Valuation | NSF | Mathematical Science Section | 2026 | $150,000 | July 1, 2026 | June 30, 2029 | Weijing Tang | nsf.gov |
| Collaborative Research: Statistical Foundations for Scalable and Robust Data Valuation | NSF | Mathematical Science Section | 2026 | $150,000 | July 1, 2026 | June 30, 2029 | Yuan Zhang | nsf.gov |
| Methods for Nonlinear, Non-Gaussian, and Data-Driven Ensemble Data Assimilation in Large-Scale Applications | NSF | Division Of Mathematical Sciences | 2022 | $149,999 | August 1, 2022 | July 31, 2025 | Ian G Grooms | nsf.gov |
| New Directions in Bayesian Heterogeneous Data Integration: Methods, Theory and Applications | NSF | Mathematical Science Section | 2024 | $149,999 | July 1, 2024 | June 30, 2027 | Sharmistha Guha | nsf.gov |
| Collaborative Research: Network Analysis via Optimal Transport of Markov Embeddings | NSF | Mathematical Science Section | 2024 | $149,999 | August 1, 2024 | July 31, 2027 | Kevin McGoff | nsf.gov |
| Taming sequential decision-making with reinforcement learning: non-stationarity, heterogeneity, and online/offline comparison | NSF | Mathematical Science Section | 2025 | $149,997 | September 1, 2025 | August 31, 2028 | Ran Chen | nsf.gov |
| Statistical methods for point-process time series | NSF | Mathematical Science Section | 2024 | $149,989 | July 1, 2024 | June 30, 2027 | Daniel Gervini | nsf.gov |
| Nonparametric Inference for Convex Functions and Continuous Treatment Effects | NSF | Division Of Mathematical Sciences | 2022 | $149,982 | July 1, 2022 | June 30, 2025 | Charles R Doss | nsf.gov |
| Collaborative Research: Elements: Scalable and Automated Learning of Active Dynamics (SALAD) | NSF | Office of Advanced Cyberinfrastructure | 2024 | $149,963 | September 1, 2024 | August 31, 2027 | Yimin Luo | nsf.gov |
| Collaborative Research: Design-Based Optimal Subdata Selection Using Mixture-of-Experts Models to Account for Big Data Heterogeneity | NSF | Division Of Mathematical Sciences | 2022 | $149,961 | August 15, 2022 | January 31, 2023 | John Stufken | nsf.gov |
| Collaborative Research: Design-Based Optimal Subdata Selection Using Mixture-of-Experts Models to Account for Big Data Heterogeneity | NSF | Mathematical Science Section | 2023 | $149,961 | November 1, 2022 | July 31, 2026 | John Stufken | nsf.gov |
| Collaborative Research: Accounting for geolocation error in point pattern analysis | NSF | Mathematical Science Section | 2024 | $149,947 | August 1, 2024 | July 31, 2027 | Mikyoung Jun | nsf.gov |
| Collaborative Research: Online Statistical Inference for Modern Machine Learning | NSF | Division Of Mathematical Sciences | 2025 | $148,654 | October 1, 2025 | September 30, 2026 | Jiaqi Li | nsf.gov |
| Collaborative Research: Online Statistical Inference for Modern Machine Learning | NSF | Mathematical Science Section | 2026 | $148,654 | July 1, 2026 | September 30, 2028 | Jiaqi Li | nsf.gov |
| CAREER: New Frontiers in Time Series Analysis | NSF | Mathematical Science Section | 2025 | $148,495 | September 1, 2025 | August 31, 2030 | Yao Zheng | nsf.gov |
| Collaborative Research: Statistical Inference for Multivariate and Functional Time Series via Sample Splitting | NSF | Mathematical Science Section | 2025 | $146,738 | January 1, 2025 | June 30, 2026 | Xiaofeng Shao | nsf.gov |
| Collaborative Research: Calibrated Hypothesis Testing | NSF | Mathematical Science Section | 2026 | $146,715 | June 1, 2026 | May 31, 2029 | Jake A Soloff | nsf.gov |
| Collaborative Research: Learning to learn with rigor: foundations of amortized inference | NSF | Mathematical Science Section | 2025 | $140,000 | September 1, 2025 | August 31, 2028 | Lizhen Lin | nsf.gov |
| Collaborative Research: Performance Guaranteed Statistical Learning with Multiple Classes of Models (guided by PCS) | NSF | Mathematical Science Section | 2025 | $140,000 | August 15, 2025 | July 31, 2028 | Bin Yu | nsf.gov |
| Non-parametric estimation for multimodal data: From statistical theory to efficient algorithms | NSF | Mathematical Science Section | 2026 | $139,995 | June 1, 2026 | May 31, 2029 | Xiaowu Dai | nsf.gov |
| Statistical Inference for Exchangeable Network Models | NSF | Mathematical Science Section | 2025 | $139,848 | September 1, 2025 | August 31, 2028 | Robert Lunde | nsf.gov |
| Collaborative Research: Modernizing Mixed Model Prediction | NSF | Mathematical Science Section | 2022 | $139,678 | September 1, 2022 | August 31, 2026 | Jiming Jiang | nsf.gov |
| Collaborative Research: Theoretical and Algorithmic Foundations of Variational Bayesian Inference | NSF | Mathematical Science Section | 2022 | $134,186 | July 1, 2022 | June 30, 2025 | Yun Yang | nsf.gov |
| Collaborative Research: Semiparametric and Reinforcement Learning for Precision Medicine | NSF | Mathematical Science Section | 2022 | $133,850 | August 15, 2022 | July 31, 2026 | Xinyi Li | nsf.gov |
| Collaborative Research: Calibrated Hypothesis Testing | NSF | Mathematical Science Section | 2026 | $133,285 | June 1, 2026 | May 31, 2029 | William S Fithian | nsf.gov |
| Collaborative Research: Towards designing optimal learning procedures via precise medium-dimensional asymptotic analysis | NSF | Mathematical Science Section | 2022 | $130,000 | August 1, 2022 | July 31, 2025 | Mohammad Ali Maleki | nsf.gov |
| Best Subset Selection: Statistics Meets Quantum Computing | NSF | Division Of Mathematical Sciences | 2022 | $127,176 | August 1, 2022 | July 31, 2025 | Yuan Ke | nsf.gov |
| Collaborative Research: Multiple Hypothesis Testing on the Regression Analysis | NSF | Mathematical Science Section | 2023 | $125,667 | August 1, 2023 | July 31, 2027 | Xin Xing | nsf.gov |
| Collaborative Research: Causal Learning with High-dimensional Imaging Outcomes: Methods, Theory, and Algorithms | NSF | Mathematical Science Section | 2025 | $125,627 | September 1, 2025 | August 31, 2028 | Peng Liu | nsf.gov |
| Integrative approaches with applications in eQTL analysis and randomized trials | NSF | Mathematical Science Section | 2022 | $125,000 | September 1, 2022 | August 31, 2026 | Fei Xue | nsf.gov |
| Collaborative Research: Multi-source Learning: Data-driven Algorithms, Optimality Theory, and Applications | NSF | Mathematical Science Section | 2024 | $125,000 | August 1, 2024 | July 31, 2027 | Linjun Zhang | nsf.gov |
| Collaborative Research: Theory of Causal Learning | NSF | Mathematical Science Section | 2025 | $125,000 | September 15, 2025 | August 31, 2028 | Fang Han | nsf.gov |
| Collaborative Research: Theory of Causal Learning | NSF | Mathematical Science Section | 2025 | $125,000 | September 15, 2025 | August 31, 2028 | Peng Ding | nsf.gov |
| Collaborative Research: Generalized Fiducial Inference in Complex Systems: Causal Inference, Networks, and Normalizing Flows | NSF | Mathematical Science Section | 2025 | $125,000 | September 1, 2025 | August 31, 2028 | Jan Hannig | nsf.gov |
| Collaborative Research: Generalized Fiducial Inference in Complex Systems: Causal Inference, Networks, and Normalizing Flows | NSF | Mathematical Science Section | 2025 | $125,000 | September 1, 2025 | August 31, 2028 | Thomas Chun Man Lee | nsf.gov |
| Collaborative Research: Towards designing optimal learning procedures via precise medium-dimensional asymptotic analysis | NSF | Mathematical Science Section | 2022 | $124,826 | August 1, 2022 | July 31, 2025 | Haolei Weng | nsf.gov |
| Collaborative Research: Causal Learning with High-dimensional Imaging Outcomes: Methods, Theory, and Algorithms | NSF | Mathematical Science Section | 2025 | $124,487 | September 1, 2025 | August 31, 2028 | Shan Yu | nsf.gov |
| Collaborative Research: Modernizing Mixed Model Prediction | NSF | Mathematical Science Section | 2022 | $121,885 | September 1, 2022 | August 31, 2026 | Thuan Nguyen | nsf.gov |
| Bayesian Learning for Spatial Point Processes: Theory, Methods, Computation, and Applications | NSF | Division Of Mathematical Sciences | 2024 | $121,153 | December 15, 2023 | July 31, 2025 | Guanyu Hu | nsf.gov |
| Collaborative Research: Integrative Heterogeneous Learning for Intensive Complex Longitudinal Data | NSF | Mathematical Science Section | 2022 | $120,000 | August 1, 2022 | July 31, 2025 | Ruoqing Zhu | nsf.gov |
| Collaborative Research: Rates of Change and Boundary Assessment in Spatiotemporal Processes | NSF | Mathematical Science Section | 2026 | $120,000 | June 1, 2026 | May 31, 2029 | Sudipto Banerjee | nsf.gov |
| Collaborative Research: CDS&E: Array-Variate Models for Longitudinal Data: Scalable Mixed and Autoregressive Approaches | NSF | Mathematical Science Section | 2025 | $119,994 | September 1, 2025 | August 31, 2028 | Sanvesh Srivastava | nsf.gov |
| Functional Regression and Classification for Data Supported on Complex Geometries | NSF | Mathematical Science Section | 2022 | $119,981 | July 1, 2022 | June 30, 2026 | Eardi Lila | nsf.gov |
| Laplace approximation in survival data analysis | NSF | Mathematical Science Section | 2025 | $119,952 | August 15, 2025 | July 31, 2028 | Lili Yu | nsf.gov |
| Collaborative Research: FDT-BioTech: Advancing Mathematical and Statistical Foundations to Enhance Human Digital Twin of Neurophysiological Modeling and Uncertainty Quantification | NSF | Division Of Mathematical Sciences | 2024 | $119,522 | January 1, 2025 | March 31, 2026 | Huixia J Wang | nsf.gov |
| Toward Statistically Optimal Diffusion Generative Models: Accuracy, Complexity, and Privacy | NSF | Mathematical Science Section | 2025 | $118,132 | August 15, 2025 | July 31, 2028 | Jingbo Liu | nsf.gov |
| Fundamental Limits of High-Dimensional Statistical Estimation | NSF | Mathematical Science Section | 2024 | $117,910 | September 1, 2024 | August 31, 2027 | Cynthia Rush | nsf.gov |
| Collaborative Research: Halfspace Depth for Object and Functional Data | NSF | Division Of Mathematical Sciences | 2023 | $116,768 | June 1, 2023 | June 30, 2025 | Alejandro Schuler | nsf.gov |
| Measuring extremal dependence of functional data | NSF | Mathematical Science Section | 2024 | $115,000 | August 1, 2024 | July 31, 2027 | Mihyun Kim | nsf.gov |
| Collaborative Research: Statistical Network Integration | NSF | Mathematical Science Section | 2024 | $115,000 | July 1, 2024 | June 30, 2027 | Jesús Arroyo | nsf.gov |
| Collaborative Research: Statistical Network Integration | NSF | Mathematical Science Section | 2024 | $114,999 | July 1, 2024 | June 30, 2027 | Joshua Cape | nsf.gov |
| Collaborative Research: Statistical Inference for Multivariate and Functional Time Series via Sample Splitting | NSF | Mathematical Science Section | 2022 | $110,000 | July 1, 2022 | June 30, 2026 | Runmin Wang | nsf.gov |
| Collaborative Research: Use of Random Compression Matrices For Scalable Inference in High Dimensional Structured Regressions | NSF | Mathematical Science Section | 2022 | $110,000 | June 15, 2022 | May 31, 2026 | Aaron W Scheffler | nsf.gov |
| Collaborative Research: Novel modeling and Bayesian analysis of high-dimensional time series | NSF | Mathematical Science Section | 2022 | $110,000 | September 1, 2022 | August 31, 2026 | Arkaprava Roy | nsf.gov |
| Collaborative Research: Novel modeling and Bayesian analysis of high-dimensional time series | NSF | Mathematical Science Section | 2022 | $109,999 | September 1, 2022 | August 31, 2026 | Anindya Roy | nsf.gov |
| Collaborative Research: Distributional Balancing Methods for Advancing Causal Inference in Complex Settings | NSF | Mathematical Science Section | 2025 | $108,000 | September 1, 2025 | August 31, 2028 | Chan Park | nsf.gov |
| Statistical Modelling and Inference for Next-Generation Functional Data | NSF | Division Of Mathematical Sciences | 2022 | $107,317 | October 1, 2021 | July 31, 2023 | Lily Wang | nsf.gov |
| Iterative Algorithms for Statistics: From Convergence Rates to Statistical Accuracy | NSF | Division Of Mathematical Sciences | 2023 | $104,104 | October 1, 2022 | June 30, 2023 | Martin Wainwright | nsf.gov |
| Collaborative Research: Planning: FIRE-PLAN: Advancing Wildland Fire Analytics for Actuarial Applications and Beyond | NSF | Mathematical Science Section | 2025 | $102,683 | February 1, 2025 | September 30, 2026 | Yuzhou Chen | nsf.gov |
| Collaborative Research: Novel Bayesian Thresholding and Shrinkage Methods in Multiscale Domains with Applications | NSF | Mathematical Science Section | 2025 | $100,123 | September 1, 2025 | August 31, 2028 | Brani D Vidakovic | nsf.gov |
| Collaborative Research: Advances in the Theory and Practice of Non-Euclidean Statistics | NSF | Mathematical Science Section | 2023 | $100,000 | September 15, 2023 | August 31, 2026 | Robert Paige | nsf.gov |
| Collaborative Research: Systemic Shock Inference for High-Frequency Data | NSF | Mathematical Science Section | 2024 | $100,000 | July 1, 2024 | June 30, 2027 | Benjamin C Boniece | nsf.gov |
| Collaborative Research: Nonparametric Learning in High-Dimensional Survival Analysis for causal inference and sequential decision making | NSF | Mathematical Science Section | 2024 | $100,000 | July 1, 2024 | June 30, 2027 | Zhezhen Jin | nsf.gov |
| Collaborative Research: Novel Bayesian Thresholding and Shrinkage Methods in Multiscale Domains with Applications | NSF | Mathematical Science Section | 2025 | $100,000 | September 1, 2025 | August 31, 2028 | Anirban DasGupta | nsf.gov |
| Collaborative Research: Statistical Modeling and Inference on Directed Network Data for Understanding Faculty Hiring Dynamics | NSF | Mathematical Science Section | 2025 | $100,000 | August 15, 2025 | July 31, 2028 | Wen Zhou | nsf.gov |
| Collaborative Research: Rates of Change and Boundary Assessment in Spatiotemporal Processes | NSF | Mathematical Science Section | 2026 | $100,000 | June 1, 2026 | May 31, 2029 | Aritra Halder | nsf.gov |
| Collaborative Research: Rates of Change and Boundary Assessment in Spatiotemporal Processes | NSF | Mathematical Science Section | 2026 | $100,000 | June 1, 2026 | May 31, 2029 | Didong Li | nsf.gov |
| Collaborative Research: Generative Bootstrapping Methods for Massive Dependent Data | NSF | Mathematical Science Section | 2026 | $100,000 | September 1, 2026 | August 31, 2029 | Ray Bai | nsf.gov |
| Collaborative Research: Privacy-Preserving Statistical Learning for High-Dimensional Spatial Omics | NSF | Mathematical Science Section | 2026 | $99,999 | September 1, 2026 | August 31, 2029 | Naichen Shi | nsf.gov |
| Conference: Data-driven modeling and prediction of rare and extreme events | NSF | Division of Computing and Communication Foundations | 2024 | $99,978 | September 1, 2024 | August 31, 2025 | Rebecca M Willett | nsf.gov |
| Collaborative Research: Advances in the Theory and Practice of Non-Euclidean Statistics | NSF | Mathematical Science Section | 2023 | $99,974 | September 15, 2023 | August 31, 2026 | Victor Patrangenaru | nsf.gov |
| Collaborative Research: Systemic Shock Inference for High-Frequency Data | NSF | Mathematical Science Section | 2024 | $99,957 | July 1, 2024 | June 30, 2027 | Jose Figueroa-Lopez | nsf.gov |
| Collaborative Research: Resampling bridges for complex data | NSF | Mathematical Science Section | 2025 | $99,924 | August 1, 2025 | July 31, 2028 | Haihan Yu | nsf.gov |
| Conference: Advancing Statistical Science for our Changing Climate | NSF | Division Of Mathematical Sciences | 2023 | $99,590 | September 1, 2023 | August 31, 2025 | Katherine B Ensor | nsf.gov |
| Collaborative Research: Online Statistical Inference for Modern Machine Learning | NSF | Mathematical Science Section | 2025 | $99,322 | October 1, 2025 | September 30, 2028 | Likai Chen | nsf.gov |
| Collaborative Research: Planning: FIRE-PLAN:High-Spatiotemporal-Resolution Sensing and Digital Twin to Advance Wildland Fire Science | NSF | Mathematical Science Section | 2023 | $96,000 | January 1, 2024 | June 30, 2026 | Haiyang Chao | nsf.gov |
| CAREER: New data integration approaches for efficient and robust meta-estimation, model fusion and transfer learning | NSF | Division Of Mathematical Sciences | 2024 | $94,666 | June 1, 2024 | July 31, 2026 | Emily C Hector | nsf.gov |
| CAREER: Statistical Inference in the Presence of Group Actions: Theory, Method, and Application | NSF | Mathematical Science Section | 2025 | $90,000 | July 1, 2025 | June 30, 2031 | Ye Zhang | nsf.gov |
| Collaborative Research: CDS&E: Array-Variate Models for Longitudinal Data: Scalable Mixed and Autoregressive Approaches | NSF | Mathematical Science Section | 2025 | $90,000 | September 1, 2025 | August 31, 2028 | Kshitij Khare | nsf.gov |
| Collaborative Research: CDS&E: Array-Variate Models for Longitudinal Data: Scalable Mixed and Autoregressive Approaches | NSF | Mathematical Science Section | 2025 | $90,000 | September 1, 2025 | August 31, 2028 | Partha Sarkar | nsf.gov |
| Collaborative Research: High-Dimensional Tensor Learning under Labeled-Data Scarcity | NSF | Mathematical Science Section | 2024 | $87,026 | September 1, 2024 | August 31, 2028 | Elynn Y Chen | nsf.gov |
| CAREER: Towards Tight Guarantees of Markov Chain Sampling Algorithms in High Dimensional Statistical Inference | NSF | Division Of Mathematical Sciences | 2023 | $84,817 | July 1, 2023 | June 30, 2024 | Yuansi Chen | nsf.gov |
| CAREER: Computer-Intensive Statistical Inference on High-Dimensional and Massive Data: From Theoretical Foundations to Practical Computations | NSF | Division Of Mathematical Sciences | 2024 | $84,227 | November 15, 2023 | June 30, 2025 | Xiaohui Chen | nsf.gov |
| CAREER: Stable and Scalable Estimation of the Intrinsic Geometry of Multiway Data | NSF | Division Of Mathematical Sciences | 2022 | $83,740 | October 1, 2021 | June 30, 2024 | Eric Chi | nsf.gov |
| Collaborative Research: Statistical Modeling and Inference on Directed Network Data for Understanding Faculty Hiring Dynamics | NSF | Mathematical Science Section | 2025 | $80,000 | August 15, 2025 | July 31, 2028 | Tianxi Li | nsf.gov |
| Collaborative Research: High-Dimensional Tensor Learning under Labeled-Data Scarcity | NSF | Mathematical Science Section | 2024 | $78,282 | September 1, 2024 | August 31, 2028 | Yuefeng Han | nsf.gov |
| Collaborative Research: Change Point Testing and Estimation with Irregular Signals | NSF | Mathematical Science Section | 2026 | $75,000 | September 1, 2026 | August 31, 2029 | Maggie X Cheng | nsf.gov |
| Collaborative Research: Change Point Testing and Estimation with Irregular Signals | NSF | Mathematical Science Section | 2026 | $75,000 | September 1, 2026 | August 31, 2029 | Wei Biao Wu | nsf.gov |
| Collaborative Research: Integrating Multimodal Data in AI for Precision Medicine | NSF | Mathematical Science Section | 2026 | $75,000 | September 1, 2026 | August 31, 2029 | Michael R Kosorok | nsf.gov |
| Collaborative Research: CDS&E New Matrix-free Computation for Large Scale Spatial Analysis | NSF | Mathematical Science Section | 2026 | $74,998 | August 1, 2026 | July 31, 2029 | Debashis Mondal | nsf.gov |
| Matching and Data Integration | NSF | Division Of Mathematical Sciences | 2022 | $74,390 | July 1, 2022 | October 31, 2023 | Zongming Ma | nsf.gov |
| Markov Random Fields, Geostatistics and Matrix-Free Computation | NSF | Division Of Mathematical Sciences | 2022 | $73,789 | October 1, 2021 | August 31, 2023 | Debashis Mondal | nsf.gov |
| Collaborative Research: New Bayesian Causal Methods for Personalized Decision-Making Under Unmeasured Confounding | NSF | Mathematical Science Section | 2026 | $73,241 | June 1, 2026 | May 31, 2029 | Wei Jin | nsf.gov |
| Collaborative Research: Non-Parametric Inference of Temporal Data | NSF | Mathematical Science Section | 2023 | $70,003 | September 1, 2023 | August 31, 2026 | Likai Chen | nsf.gov |
| Collaborative Research: Planning: FIRE-PLAN: Advancing Wildland Fire Analytics for Actuarial Applications and Beyond | NSF | Division Of Mathematical Sciences | 2023 | $70,000 | October 15, 2023 | September 30, 2025 | Tirtha Banerjee | nsf.gov |
| Collaborative Research: Ranking of Entities | NSF | Mathematical Science Section | 2025 | $70,000 | September 1, 2025 | August 31, 2028 | Snigdhansu B Chatterjee | nsf.gov |
| Collaborative Research: Distributional Balancing Methods for Advancing Causal Inference in Complex Settings | NSF | Mathematical Science Section | 2025 | $68,000 | September 1, 2025 | August 31, 2028 | Guanhua Chen | nsf.gov |
| Nonparametric Total Variation Regression for Multivariate Process Data | NSF | Division Of Mathematical Sciences | 2022 | $67,616 | September 15, 2022 | December 31, 2023 | Michael Pokojovy | nsf.gov |
| Collaborative Research: New Regression Models and Methods for Studying Multiple Categorical Responses | NSF | Division Of Mathematical Sciences | 2024 | $67,380 | January 15, 2024 | August 31, 2025 | Aaron J Molstad | nsf.gov |
| Collaborative Research: Inference and Decentralized Computing for Quantile Regression and Other Non-Smooth Methods | NSF | Division Of Mathematical Sciences | 2024 | $66,005 | November 15, 2023 | June 30, 2025 | Wenxin Zhou | nsf.gov |
| Minipatch Learning for Selection, Stability, Inference, and Scalability | NSF | Division Of Mathematical Sciences | 2022 | $65,667 | August 1, 2022 | February 28, 2025 | Genevera Allen | nsf.gov |
| Statistical Modeling and Inference for Network Data in Modern Applications | NSF | Division Of Mathematical Sciences | 2023 | $65,434 | January 1, 2023 | June 30, 2024 | Emma Jingfei Zhang | nsf.gov |
| Collaborative Research: New Bayesian Causal Methods for Personalized Decision-Making Under Unmeasured Confounding | NSF | Mathematical Science Section | 2026 | $63,507 | June 1, 2026 | May 31, 2029 | Yang Ni | nsf.gov |
| Conference: Emerging Statistical and Quantitative Issues in Genomic Research in Health Sciences | NSF | Mathematical Science Section | 2024 | $61,920 | February 1, 2024 | January 31, 2027 | Xihong Lin | nsf.gov |
| Collaborative Research: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Process Modeling | NSF | Mathematical Science Section | 2025 | $60,289 | July 1, 2025 | July 31, 2026 | Li Ma | nsf.gov |
| Collaborative Research: Efficient Individualized Treatment Selection for Personalized Medicine | NSF | Mathematical Science Section | 2025 | $60,000 | September 15, 2025 | August 31, 2028 | Weibin Mo | nsf.gov |
| Collaborative Research: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Process Modeling | NSF | Division Of Mathematical Sciences | 2022 | $59,710 | August 1, 2022 | July 31, 2025 | Li Ma | nsf.gov |
| Collaborative Research: High-Dimensional Decision Making and Inference with Applications for Personalized Medicine | NSF | Division Of Mathematical Sciences | 2022 | $58,186 | January 1, 2022 | May 31, 2024 | Xingyuan Fang | nsf.gov |
| Collaborative Research: Unlocking Complex Heterogeneity in Large Spatial-Temporal Data with Scalable Quantile Learning | NSF | Division Of Mathematical Sciences | 2024 | $54,378 | September 1, 2024 | August 31, 2026 | Huixia J Wang | nsf.gov |
| Collaborative Research: Statistical Inference for Multivariate and Functional Time Series via Sample Splitting | NSF | Division Of Mathematical Sciences | 2022 | $53,261 | July 1, 2022 | April 30, 2025 | Xiaofeng Shao | nsf.gov |
| Nonparametric Total Variation Regression for Multivariate Process Data | NSF | Mathematical Science Section | 2024 | $52,237 | November 1, 2023 | August 31, 2025 | Michael Pokojovy | nsf.gov |
| Collaborative Research: Planning: FIRE-PLAN:High-Spatiotemporal-Resolution Sensing and Digital Twin to Advance Wildland Fire Science | NSF | Division Of Mathematical Sciences | 2023 | $52,000 | January 1, 2024 | December 31, 2025 | Xiaolin Hu | nsf.gov |
| Collaborative Research: Planning: FIRE-PLAN:High-Spatiotemporal-Resolution Sensing and Digital Twin to Advance Wildland Fire Science | NSF | Division Of Mathematical Sciences | 2023 | $51,998 | January 1, 2024 | December 31, 2025 | Ming Xin | nsf.gov |
| Tropical Neural Networks | NSF | Mathematical Science Section | 2024 | $51,808 | September 1, 2024 | September 30, 2027 | Ruriko Yoshida | nsf.gov |
| SRCOS Summer Research Conference in Statistics and Biostatistics | NSF | Division Of Mathematical Sciences | 2022 | $50,000 | August 1, 2022 | July 31, 2023 | Katherine L Thompson | nsf.gov |
| Conference: SRCOS Summer Research Conference in Statistics and Biostatistics | NSF | Division Of Mathematical Sciences | 2023 | $50,000 | June 1, 2023 | May 31, 2025 | Katherine L Thompson | nsf.gov |
| Conference: Summer Geometry Initiative | NSF | Division Of Mathematical Sciences | 2023 | $50,000 | July 1, 2023 | December 31, 2023 | Justin M Solomon | nsf.gov |
| Conference: Mathematical Fellowships for the Annual International Conference on Quantum Information Processing (QIP) 2025 | NSF | Mathematical Science Section | 2025 | $50,000 | December 15, 2024 | November 30, 2025 | Di Fang | nsf.gov |
| Conference: 2026 Princeton Machine Learning Theory Summer School | NSF | Mathematical Science Section | 2026 | $49,999 | August 1, 2026 | July 31, 2027 | Boris L Hanin | nsf.gov |
| Conference: UConn Sports Analytics Symposium: Engaging Students into Data Science | NSF | Mathematical Science Section | 2022 | $49,986 | September 1, 2022 | August 31, 2026 | Jun Yan | nsf.gov |
| Workshop: Collaborative Strategies for Predicting and Measuring Uncertainty in Rare Occurrences in Civil and Environmental Systems; Golden, Colorado; 6-8 November 2024 | NSF | Division of Civil, Mechanical, and Manufacturing Innovation | 2024 | $49,620 | May 1, 2024 | April 30, 2025 | Soutir Bandyopadhyay | nsf.gov |
| Foundations of Computational Mathematics Conference – FoCM 2023 | NSF | Division Of Mathematical Sciences | 2022 | $49,500 | December 1, 2022 | November 30, 2023 | Peter Binev | nsf.gov |
| Conference: Foundations of Computational Mathematics 2026 | NSF | Mathematical Science Section | 2026 | $49,500 | July 15, 2026 | March 31, 2027 | Andrea Bonito | nsf.gov |
| Collaborative Research: NSF MPS/DMS-EPSRC: Stochastic Shape Processes and Inference | NSF | Division Of Mathematical Sciences | 2024 | $46,130 | August 1, 2024 | April 30, 2026 | Anuj Srivastava | nsf.gov |
| Conference: Mathematics and Machine Learning 2023 | NSF | Division Of Mathematical Sciences | 2023 | $40,000 | September 1, 2023 | February 28, 2025 | Sergei Gukov | nsf.gov |
| Conference: Southern Regional Council on Statistics Summer Research Conference | NSF | Division Of Mathematical Sciences | 2025 | $40,000 | June 15, 2025 | November 30, 2025 | Katherine L Thompson | nsf.gov |
| Conference: 2026 Conferences for New Researchers in Statistics, Probability, and Data Science | NSF | Mathematical Science Section | 2026 | $40,000 | July 15, 2026 | June 30, 2027 | Carlos J Soto | nsf.gov |
| Conference: 2025 Conferences for New Researchers in Statistics, Probability, and Data Science | NSF | Division Of Mathematical Sciences | 2025 | $39,987 | June 15, 2025 | May 31, 2026 | Panpan Zhang | nsf.gov |
| Conference: 2025 Conferences for New Researchers in Statistics, Probability, and Data Science | NSF | Mathematical Science Section | 2026 | $39,987 | February 15, 2026 | May 31, 2026 | Panpan Zhang | nsf.gov |
| Developing Conjugate Models for Exact MCMC free Bayesian Inference with Application to High-Dimensional Spatio-Temporal Data | NSF | Mathematical Science Section | 2025 | $38,121 | August 1, 2025 | August 31, 2026 | Jonathan R Bradley | nsf.gov |
| Collaborative Research: Experimental Design, Surrogate Modeling, and Sensitivity Analysis for Complex Computer Experiments | NSF | Mathematical Science Section | 2026 | $36,950 | September 1, 2026 | August 31, 2029 | Lin Wang | nsf.gov |
| Conference: SRCOS Summer Research Conference in Statistics and Biostatistics | NSF | Division Of Mathematical Sciences | 2024 | $34,920 | May 1, 2024 | April 30, 2026 | Katherine L Thompson | nsf.gov |
| Collaborative Research: Accounting for geolocation error in point pattern analysis | NSF | Mathematical Science Section | 2026 | $34,625 | March 15, 2026 | July 31, 2027 | Scott Cook | nsf.gov |
| Interdisciplinary Workshop on Weather and Climate Extremes | NSF | Division Of Mathematical Sciences | 2022 | $33,147 | September 1, 2022 | August 31, 2023 | Whitney Huang | nsf.gov |
| Conference: Advances in Statistical and Computational Methods for Analysis of Biomedical, Genetic, and Omics Data | NSF | Division Of Mathematical Sciences | 2022 | $31,650 | January 1, 2023 | December 31, 2024 | Swati Biswas | nsf.gov |
| Bayesian Learning for Spatial Point Processes: Theory, Methods, Computation, and Applications | NSF | Division Of Mathematical Sciences | 2022 | $30,057 | August 1, 2022 | January 31, 2024 | Guanyu Hu | nsf.gov |
| Conference: ICSA 2023 China Conference | NSF | Division Of Mathematical Sciences | 2023 | $30,000 | June 1, 2023 | May 31, 2024 | Yichuan Zhao | nsf.gov |
| Conference: Interagency Analysis and Modeling Group/Multiscale Modeling Consortium (IMAG/MSM) Meeting on Operationalizing the NASEM Report on Digital Twins | NSF | Mathematical Science Section | 2024 | $30,000 | August 15, 2024 | July 31, 2025 | Gary C An | nsf.gov |
| Conference: The 9th International Workshop in Sequential Methodologies | NSF | Mathematical Science Section | 2026 | $30,000 | May 1, 2026 | April 30, 2027 | Michael I Baron | nsf.gov |
| Conference: 54th Barrett Memorial Lectures: Mathematical Foundations for Computational and Data-Driven Scientific Discovery | NSF | Mathematical Science Section | 2026 | $30,000 | May 15, 2026 | April 30, 2027 | Duc D Nguyen | nsf.gov |
| Conference: Southern Regional Council on Statistics Summer Research Conference | NSF | Mathematical Science Section | 2026 | $30,000 | July 1, 2026 | June 30, 2027 | Katherine L Thompson | nsf.gov |
| Conference: STAI-X 2026: Conference on Statistics and Trustworthy AI for Cross (X)-Domain Acceleration | NSF | Mathematical Science Section | 2026 | $30,000 | August 1, 2026 | July 31, 2027 | Peter X Song | nsf.gov |
| CAREER: Learning stochastic spatiotemporal dynamics in single-molecule genetics | NSF | Division Of Mathematical Sciences | 2024 | $28,765 | July 1, 2024 | September 30, 2025 | Christopher E Miles | nsf.gov |
| Collaborative Research: Planning: FIRE-PLAN: Advancing Wildland Fire Analytics for Actuarial Applications and Beyond | NSF | Division Of Mathematical Sciences | 2023 | $27,266 | October 15, 2023 | March 31, 2025 | Yuzhou Chen | nsf.gov |
| Workshops in Geometry and Mathematical Physics and in Probability and Statistics | NSF | Division Of Mathematical Sciences | 2022 | $26,650 | June 1, 2022 | December 31, 2024 | Siu-Cheong Lau | nsf.gov |
| Conference: 2026 Quality and Productivity Research Conference | NSF | Mathematical Science Section | 2026 | $26,340 | June 1, 2026 | May 31, 2027 | Maria Weese | nsf.gov |
| CAREER: Advances in Randomization Inference for Causal Effects: Heterogeneity, Sensitivity, and Complexity | NSF | Division Of Mathematical Sciences | 2023 | $26,329 | July 1, 2023 | November 30, 2023 | Xinran Li | nsf.gov |
| Collaborative Research: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Process Modeling | NSF | Division Of Mathematical Sciences | 2022 | $25,226 | August 1, 2022 | October 31, 2023 | Pulong Ma | nsf.gov |
| Conference: Statistical Foundations of Data Science and their Applications | NSF | Division Of Mathematical Sciences | 2023 | $25,000 | February 1, 2023 | January 31, 2024 | Matias D Cattaneo | nsf.gov |
| Collaborative Research: Conference: International Indian Statistical Association annual conference | NSF | Division Of Mathematical Sciences | 2023 | $25,000 | June 15, 2023 | May 31, 2024 | Soutir Bandyopadhyay | nsf.gov |
| Conference: International Indian Statistical Association 2024 Annual Flagship Conference in India | NSF | Mathematical Science Section | 2024 | $25,000 | September 1, 2024 | August 31, 2026 | Saonli Basu | nsf.gov |
| Conference: 2026 ASA Statistical Methods in Imaging (SMI) Conference | NSF | Mathematical Science Section | 2026 | $25,000 | June 1, 2026 | November 30, 2026 | Ivo D Dinov | nsf.gov |
| Conference: 2026 Statistical Learning and Data Science Conference | NSF | Mathematical Science Section | 2026 | $25,000 | October 1, 2026 | September 30, 2027 | Wen Zhou | nsf.gov |
| ENVR 2022 Workshop: Environmental and Ecological Statistical Research and Applications with Societal Impacts | NSF | Division Of Mathematical Sciences | 2022 | $24,000 | July 15, 2022 | June 30, 2023 | Matthew J Heaton | nsf.gov |
| Travel Support for 16th Tri-Annual International Conference on Stochastic Programming (ICSP); Davis, California; 24-28 July 2023 | NSF | Division of Civil, Mechanical, and Manufacturing Innovation | 2023 | $24,000 | June 15, 2023 | August 31, 2023 | David L Woodruff | nsf.gov |
| Conference: International Indian Statistical Association Annual Conference 2025 | NSF | Mathematical Science Section | 2025 | $23,845 | June 1, 2025 | December 31, 2026 | Souparno Ghosh | nsf.gov |
| Conference: Enriching Statistical Inference with Artificial Intelligence | NSF | Division Of Mathematical Sciences | 2025 | $22,500 | March 1, 2025 | February 28, 2026 | Faming Liang | nsf.gov |
| Conference: Quality and Productivity Research Conference - Statistics, Deep Learning, and the People Side of Process | NSF | Division Of Mathematical Sciences | 2023 | $22,012 | March 1, 2023 | February 28, 2025 | Jamison V Kovach | nsf.gov |
Organizations
Funding by fiscal year
| Fiscal year | NIH awards | NIH amount | NSF awards | NSF amount |
|---|---|---|---|---|
| 2026 | 0 | $0 | 128 | $18,154,743 |
| 2025 | 0 | $0 | 162 | $19,914,710 |
| 2024 | 0 | $0 | 164 | $22,470,049 |
| 2023 | 0 | $0 | 133 | $18,764,324 |
| 2022 | 0 | $0 | 127 | $19,775,800 |
Open federal funding opportunities
From Grants.gov: notices that funded awards in this table, and open notices on the same agency and assistance listing.
| Open opportunity | Number | Agency | Listing | Closes | Award ceiling | Why it matches |
|---|---|---|---|---|---|---|
| Geometric Analysis | PD-22-1265 | NSF | 47.049 | November 3, 2026 | Not listed | Same assistance listing 47.049 as 543 awards here |
| Topology | PD-22-1267 | NSF | 47.049 | November 3, 2026 | Not listed | Same assistance listing 47.049 as 543 awards here |
| Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) | 26-512 | NSF | 47.049 | November 4, 2026 | Not listed | Same assistance listing 47.049 as 543 awards here |
| Astronomy and Astrophysics Research Grants | 22-624 | NSF | 47.049 | November 16, 2026 | Not listed | Same assistance listing 47.049 as 543 awards here |
| Applied Mathematics | PD-16-1266 | NSF | 47.049 | November 16, 2026 | Not listed | Same assistance listing 47.049 as 543 awards here |
| Plasma Physics | PD-23-1242 | NSF | 47.049 | November 16, 2026 | Not listed | Same assistance listing 47.049 as 543 awards here |
| National Science Foundation Translation to Practice (NSF TTP) | 25-540 | NSF | 47.049 | November 17, 2026 | $2 million | Same assistance listing 47.049 as 543 awards here |
| Computational Mathematics | PD-16-1271 | NSF | 47.049 | December 1, 2026 | $1.2 million | Same assistance listing 47.049 as 543 awards here |
| Statistics | PD-18-1269 | NSF | 47.049 | December 15, 2026 | Not listed | Same assistance listing 47.049 as 543 awards here |
| Training-based Workforce Development for Advanced Cyberinfrastructure | 23-520 | NSF | 47.049 | January 21, 2027 | $1 million | Same assistance listing 47.049 as 543 awards here |
| Security, Privacy, and Trust in Cyberspace (NSF SaTC) | 25-515 | NSF | 47.049 | January 25, 2027 | $1.2 million | Same assistance listing 47.049 as 543 awards here |
| EPSCoR Research Infrastructure Improvement Program: Focused EPSCoR Collaborations (FEC) | 24-573 | NSF | 47.049 | January 26, 2027 | $1.5 million | Same assistance listing 47.049 as 543 awards here |
| Mathematical Sciences Infrastructure Program | PD-20-1260 | NSF | 47.049 | February 2, 2027 | Not listed | Same assistance listing 47.049 as 543 awards here |
| GROWING CONVERGENCE RESEARCH (GCR) | 24-527 | NSF | 47.049 | February 8, 2027 | $3.6 million | Same assistance listing 47.049 as 543 awards here |
| Mid-scale Research Infrastructure-1 | 24-598 | NSF | 47.049 | February 8, 2027 | $20 million | Same assistance listing 47.049 as 543 awards here |
| EMERGING FRONTIERS IN RESEARCH AND INNOVATION (EFRI-2026/27): Wave-Based Computing ( EFRI-WBC) | 26-524 | NSF | 47.049 | February 11, 2027 | Not listed | Same assistance listing 47.049 as 543 awards here |
| Pathways to Enable Secure Open-Source Ecosystems (PESOSE) | 26-506 | NSF | 47.049 | March 2, 2027 | Not listed | Same assistance listing 47.049 as 543 awards here |
| NSF National Quantum Virtual Laboratory (NQVL) | 24-586 | NSF | 47.049 | April 6, 2027 | Not listed | Same assistance listing 47.049 as 543 awards here |
| EPSCoR Research Infrastructure Improvement (RII): EPSCoR Research Fellows | 24-528 | NSF | 47.049 | April 13, 2027 | Not listed | Same assistance listing 47.049 as 543 awards here |
| Findable Accessible Interoperable Reusable Open Science (FAIROS) | 25-533 | NSF | 47.049 | April 14, 2027 | Not listed | Same assistance listing 47.049 as 543 awards here |
Updated November 3, 2026. Read from NIH RePORTER ExPORTER and NSF Award Search. Published by NIH and NSF as U.S. government data. NIH awards are fiscal years 2021 to 2025 (NIH files published to 2026-07-09); NSF awards are fiscal years 2022 to 2026 (NSF files published to 2026-11-02). NIH amounts are the total cost of each fiscal year in the window; NSF amounts are the funds obligated in the window. Organizations are matched on the UEI. Open opportunities come from Grants.gov and match on agency and assistance listing number, and on the notice number NIH prints on an award. Free to reuse with credit to SpecStream under CC BY 4.0. Spot a wrong value? Write to [email protected] with the link to this page.