This three-year $200,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at the University of California, Irvine to develop new statistical methods and computational tools for analyzing complex, intensive longitudinal biomedical data. Specifically, the grantee will study heterogeneous epigenetic effects of post-traumatic stress disorder using high-dimensional DNA methylation modeling. They will also develop optimal...
The National Science Foundation awarded a $150,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Illinois for the period of August 15, 2022 through July 31, 2025. The grant funds research to develop and study optimal subdata selection methods using mixture-of-experts models to account for heterogeneity in large datasets. Specifically, the principal investigators will first develop and analyze subdata selection for clusterwise linear...
This $155,372 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will fund research to develop advanced statistical methods for extracting insights from high-dimensional, high-frequency "big data." The University of Illinois, Chicago, as the prime awardee, will focus on four key areas: 1) advancing contiguity theory to enable more robust statistical analysis of noisy, high-frequency data; 2) exploring time-varying...
This National Science Foundation (NSF) Mathematical and Physical Sciences federal project grant award (CFDA 47.049) provides $175,000 to the University of Illinois to develop new theoretical frameworks and computational tools for self-supervised representation learning, with a focus on biomedical applications. The 3-year project, starting on July 1, 2025, aims to advance the understanding of self-supervised learning on low-dimensional nonlinear models and integrate these techniques into...
This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $250,000 to The Trustees of the University of Pennsylvania to develop advanced statistical methods for integrating and analyzing large-scale data from multiple sources, such as electronic health records and genomics data. The project aims to devise new data-driven algorithms with theoretical optimality guarantees for transfer learning, as well as adversarially...
This National Science Foundation Project Grant of $399,322 awarded September 1, 2022 through August 31, 2026 under the Mathematical and Physical Sciences program (CFDA 47.049) will fund the development of leading-edge statistical methods for unsupervised and semi-supervised heterogeneity analysis based on Gaussian graphical models. The awardee, Yale University, will systematically develop Gaussian graphical model-based approaches to examine complicated scenarios involving latent and regulating...
The National Science Foundation (NSF) awarded a $350,000 Project Grant under the Biological Sciences program (CFDA 47.074) to the University of Illinois in Chicago. The grant funds collaborative research to develop novel machine learning and natural language processing methods for early identification of patients at risk of chronic conditions like type 2 diabetes and congestive heart failure. The project aims to mine heterogeneous healthcare data, protect patient privacy, and create fair,...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $450,205 to Oregon Health & Science University (OHSU) to address key challenges in disentangled learning of high-dimensional biomedical data, particularly in the areas of multi-omics, tissue-resolved omics, and longitudinal omics data. The project aims to develop novel supervised clustering, Poisson-based embedding, and fusion learning models to...
The National Science Foundation awarded a $252,937 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to the University of Chicago. The purpose of this 3-year grant, which runs from September 1, 2023 to August 31, 2026, is to enhance statistical methods for analyzing temporally observed, multi-sample data in fields such as environmental science, epidemiology, and economics. The research team will develop innovative approaches to estimate and infer trends in data...
This National Science Foundation Project Grant of $133,850 supports research at Clemson University under the Mathematical and Physical Sciences program (CFDA 47.049) from August 15, 2022 through July 31, 2025. The award will fund the development of statistical analysis frameworks to incorporate abundant data features, including medical images, genetic information, and other patient characteristics, into precision medicine decision-making tools. Specifically, the researchers will adapt...