I am an Assistant Professor in the Department of Electrical Engineering and Computer Sciences and Department of Statistics at University of California, Berkeley. I received the Ph.D. degree from Stanford University in 2018. I am a member of the Berkeley Laboratory of Information and System Sciences (BLISS) and the Berkeley Artificial Intelligence Research (BAIR) Lab. I am broadly interested in statistical machine learning, mathematical data science, optimization, applied probability, information theory, and their applications in science and engineering.

Recently, my research has been focusing on the theory and system of robust learning, (inverse) reinforcement learning, the interplay between economics, statistics, and computation, and distributed (permissionless) systems.
Research Areas
Artificial Intelligence (AI)
Information, Data, Network, and Communication Sciences (IDNCS)
Control, Intelligent Systems, and Robotics (CIR)
Theory (THY)
Signal Processing (SP)
Operating Systems & Networking (OSNT)
Database Management Systems (DBMS)
Cyber-Physical Systems and Design Automation (CPSDA)