Mathematics · Control · Learning
Mo Zhou
I am an Assistant Professor in the Department of Information and Computational Sciences, School of Mathematical Sciences, Peking University, and a member of the Committee on Mathematics and Artificial Intelligence of the Chinese Mathematical Society. I received my Ph.D. in Mathematics from Duke University in 2023, advised by Professor Jianfeng Lu, and my B.S. in Mathematics from Tsinghua University in 2018. From 2023 to 2026, I conducted research and taught at UCLA under the mentorship of Professor Stanley Osher.
My research lies at the intersection of machine learning, control theory, and scientific computing, with a focus on stochastic optimal control, mean field control and games, reinforcement learning, normalizing flows, and generative models.
Email: zhoumo (at) math (dot) pku (dot) edu (dot) cn
News
- Joined the Department of Information and Computational Sciences in the School of Mathematical Sciences at Peking University as an Assistant Professor.
- Became a member of the Committee on Mathematics and Artificial Intelligence of the Chinese Mathematical Society.
- Merit case to Assistant Adjunct Professor at UCLA.
- Selected as an Institute for Digital Research and Education (IDRE Fellow) at UCLA.