Journal of Chemical Information and Modeling · 2024
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Resume (English only)
Academic Achievements
Multiple papers accepted by top conferences and journals including NeurIPS, ICML, ICLR, WWW, ECCV, etc.; developed several open-source tools such as ms-pred, pygmtools, ThinkMatch.
Research Experience
Reviewer for conferences (NeurIPS, ICML, ICLR, etc.) and journals (Nature Portfolios, IJCV, TPAMI, etc.); currently on the faculty job market.
Education
PhD from the Department of Computer Science and Engineering, Shanghai Jiao Tong University (SJTU), supervised by Prof. Xiaokang Yang and Prof. Junchi Yan; Postdoc at MIT, working with Prof. Connor Coley.
Background
Research interest: Bridging theory and method development in machine learning and optimization to chemical and biomedical applications, with a focus on developing machine learning-based structural elucidation models for metabolomics.