Professor at the Center for Statistics and Machine Learning and Department of Electrical and Computer Engineering, Princeton University
Courtesy appointments in the Department of Computer Science and the Omenn-Darling Bioengineering Institute
Founder and co-director of Princeton AI for Accelerated Invention
Affiliated with the Princeton ML Theory Group and Princeton Language+Intelligence Initiative
Research interests include: machine learning theory (e.g., exploration in online interactive learning, statistical limits for reinforcement learning, representation learning, diffusion models), developing RL and generative AI algorithms with provable generalizability, robustness, and adaptivity by leveraging problem structures, and AI applications in healthcare, biotech, drug discovery, fintech, and intelligent systems
Also interested in theoretical understanding of how ML can accelerate scientific discoveries