Bios
I am currently a Visiting Assistant Professor in the Department of Mathematics at Michigan State University, working with Prof. Guo-Wei Wei in East Lansing, Michigan. I earned my Ph.D. in Materials Physics and Chemistry from Peking University in 2022 under the supervision of Prof. Feng Pan.
Research Interests: My research centers on AI for Science, combining mathematical modeling and machine learning (ML) to advance discovery in chemistry, materials, and biology. I develop methods in topological data analysis (TDA), representation learning, and foundation models, with applications to drug discovery, drug resistance, addiction research, and the discovery of energy storage, and porous materials.
Awards & Grants
| National Institutes of Health, Topological deep learning models for the discovery of anti-opioid use disorder drugs, $3.8M (Co-I). | |
| U.S. Department of Energy, Microelectronics science research center projects for energy efficiency and extreme environments, $480,000 (Co-PI). | |
| American Mathematical Society, AMS Simons Travel Grant, $5,000 (Recipient). | |
| Bristol Myers Squibb, Virtual patient simulation and analysis for BMS' heart failure model and myosin, $371,000 (Co-PI). |
News
| Aug 17, 2025 | Presentation at the COMP: Division of Computers in Chemistry - SESSION: Machine Learning in Chemistry, ACS Fall 2025 |
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| Jul 28, 2025 | Poster at the ICERM: Fostering Cross-Disciplinary Collaboration in Biology, Medicine, and Computational Science, Brown University |
| Jun 25, 2025 | Poster at the NYC AI4Chemistry Summit 2025, NYU |
| Apr 29, 2025 | Poster at New Developments in the Theory and Methodology of Graph Neural Networks Workshop, NITMB |