The National Science Foundation awarded a $600,000 Project Grant to The Regents of the University of California under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research from January 2023 through December 2025 that studies various types of dynamical processes using mathematical techniques from theoretical computer science.
Specifically, the project analyzes classical reversible Markov chains, less classical non-reversible Markov chains, and mass action kinetics to model computational and physical phenomena such as statistical physics, genetic evolution, and chemical reaction networks. In addition to advancing scientific understanding, the funding provides opportunities for graduate student training and curriculum development in related disciplines. The Regents of the University of California will deliver the proposed research as the prime awardee, using the University of California, Berkeley as the primary place of performance.
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