I am a second-to-third-year PhD student of CMU SCS Computer Science Department
, co-advised by Zico Kolter
and Pradeep Ravikumar
. My research area is machine learning, and I am deeply interested in bridging the gap between machine learning theory and applications. Recently I am mainly focusing on tasks with distributional shift, where the data distribution on which the model is trained is different from the testing data distribution, a very common scenario in practice. Related topics include algorithmic fairness, domain adaptaion, transfer learning and robustness. In addition, I am also studying optimization and generalization theory, as well as 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
. Starting from May 2022, I have been working at Amazon Lab 126 as an applied scientist intern. From Sept 2019 to Jun 2020 I worked as a full-time research intern in Microsoft Research Asia (MSRA
) machine learning group.