I am an assistant professor of the Civil and Environmental Engineering department at University of California, Berkeley. Previously, I was assistant professor at Cornell University Operations Research and Information Engineering (2022 - 2024) and postdoctoral researcher at EECS, Berkeley (2021 - 2022). I completed my PhD in 2021 from the Institute for Data, Systems, and Society at MIT. I hold a M.S. in Transportation from MIT, and a B.S. in Applied Mathematics from Peking University.
Ph.D. in Social and Engineering Systems, Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology, 2021
M.S. in Transportation, Civil and Environmental Engineering, Massachusetts Institute of Technology, 2017
B.S. in Applied Mathematics, Peking University, 2015
My research develops methods in game theory and multi-agent learning with applications in urban systems. My research has three main themes:
Information and market design. I study the design of information mechanisms for navigation and ride-hailing platforms. I design market and incentive mechanisms for efficient resource sharing in networks.
Learning in static and Markov games. I study coupled belief-strategy learning dynamics in static games. I study decentralized multi-agent reinforcement learning algorithms in Markov games.
Applications: sustainable and equitable mobility. I develop scalable algorithms for optimizing electric vehicle deployment and infrastructure expansion. I conduct game theoretic analysis and data validation on tolling systems and high occupancy toll lane design in California bay area.
My research develops methods in game theory and multi-agent learning with applications in urban systems. My research has three main themes:
Information and market design. I study the design of information mechanisms for navigation and ride-hailing platforms. I design market and incentive mechanisms for efficient resource sharing in networks.
Learning in static and Markov games. I study coupled belief-strategy learning dynamics in static games. I study decentralized multi-agent reinforcement learning algorithms in Markov games.
Applications: sustainable and equitable mobility. I develop scalable algorithms for optimizing electric vehicle deployment and infrastructure expansion. I conduct game theoretic analysis and data validation on tolling systems and high occupancy toll lane design in California bay area.