I am a first-year PhD student of CMU SCS Computer Science Department
, co-advised by Zico Kolter
and Pradeep Ravikumar
. My research area is machine learning, including theory, algorithms and systems. I am deeply interested in designing algorithms that make machine learning faster and better, developing theories that guide the design of such algorithms, and creating systems that are efficient and user-friendly. Recently I am focusing on distributionally robust optimization (DRO), generalization theory, fairness and causal inference.
I received my Bachelor's degree in computer science and applied math (double degree) from Peking University
. As an undergraduate I was advised by Liwei Wang
. I also visited UCLA in the summer of 2019 and worked with Cho-Jui Hsieh
. From Sept 2019 to Jun 2020 I worked as a full-time research intern in Microsoft Research Asia (MSRA
) machine learning group.