This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award of $122,000, awarded to the Massachusetts Institute of Technology (MIT) from June 1, 2025 to May 31, 2030, supports fundamental research to develop new mathematical tools for analyzing sampling algorithms used ubiquitously across fields like materials science, statistical physics, and artificial intelligence. The project aims to tackle three foundational problems in theoretical computer science related to Markov chain Monte Carlo sampling techniques, with the goal of designing efficient algorithms that provably generate random samples from complex probability distributions. This research will be conducted in collaboration with a graduate student and integrated into educational materials. The award reflects NSF's mission to advance scientific knowledge and innovative computational approaches, as outlined in the CFDA 47.070 program description for supporting fundamental and applied research in computing, communications, and information science and engineering.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $122.0k | 1/2/25 |