Published multiple papers such as 'Aligning Protein Conformation Ensemble Generation with Physical Feedback' and presented at conferences like ICML, ICLR, etc. Also served as a reviewer for ICLR, NeurIPS, ICML, TMLR, and more.
Research Experience
Worked as a research intern at Apple - ML Research (Cupertino) and Bytedance {AI-Lab (Shanghai), Data-AML (Seattle)}.
Education
Received Bachelor’s degrees in Chemistry and Mathematics from Shanghai Jiao Tong University (Zhiyuan Honors Program) in 2021.
Background
Currently a CS/ML Ph.D. student at Mila - Quebec AI Institute and Université de Montréal, working with Jian Tang. Research interests include developing machine learning (ML) methods to tackle fundamental scientific challenges, specializing in generative models that capture the intricate dynamics of biomolecular structures.
Miscellany
Looking for full-time industry or faculty opportunities in the field of AI/ML research for Science starting from summer 2026.