About me
I am a C.L.E. Moore Instructor in the Department of Mathematics at MIT, working with Philippe Rigollet. I received my Ph.D. from UW–Madison, advised by Qin Li, and my undergraduate degrees from Tsinghua University.
I study mathematical questions in machine learning, optimization, and scientific computing, using tools from partial differential equations, optimal transport, dynamical systems, and probability.
Research interests
- Transformers, attention, and mean-field learning dynamics
- Gradient flows and optimization over probability measures
- Inverse problems and multiscale scientific computing
News
Upcoming · November 20, 2026: I am co-organizing the minisymposium Mean-Field and Particle-Based Methods for Mathematical Machine Learning at SIAM MDS26 in Salt Lake City. Part I · Part II.
September 2026: Two papers were accepted at NeurIPS 2026: Propagation of Chaos in Contextual Flow Maps and Scaling Limits of Long-Context Transformers.
April 2026: I received the MIT School of Science Infinite Expansion Award for my service to the MIT community.