Wenlong Mou
Home
Research
Experiences
Team
Teaching

Wenlong Mou (牟文龙)

alt text 

Assistant Professor,
Department of Statistical Sciences,
University of Toronto
Office: Ontario Power Building, Room 9190, Toronto, ON
E-mail: wmou.work [@] gmail [DOT] com
Google Scholar

About me

Welcome to my homepage! I am an Assistant Professor at the Department of Statistical Sciences, University of Toronto. I recently obtained my Ph.D. from the Department of EECS, UC Berkeley, where I was very fortunate to be advised by Prof. Martin Wainwright and Prof. Peter Bartlett. Prior to Berkeley, I received B.S. in Computer Science from Peking University in 2017, where I was very fortunate to work with Prof. Liwei Wang.

Research

I work on the interplay between AI and dynamics. This includes AI for concrete scientific/engineering problems in physical systems, and the dynamics of learning algorithms. For AI4S applications, I work on:

  • Reinforcement learning for control of complex physical systems, such as plasma control for fusion energy, and control of quantum systems.

  • AI agents and machine learning methods for reduced-order modeling and numerical simulation of partial differential equations.

For theoretical foundations, I work on:

  • Post-training optimization and test-time adaptation of modern generative models, including diffusion models and large language models.

  • Reinforcement learning theory and algorithms with function approximation. The effect of PDE and dynamics structure on the fundamental possibilities of RL algorithms.

  • Incorporation of modern machine learning in causal inference.

Recruiting

I am actively seeking Ph.D. students. Please see the post for detailed information. If you are interested in collaborating with me, please don't hesitate to reach out. However, please be aware that I receive a high volume of emails daily, which may lead to some delays in my response. Your patience in this regard is greatly appreciated. Thank you.

News