Welcome! I'm a Ph.D. candidate in the Theory of Computing group of the Department of Computer Science, Rutgers University. I'm extremely fortunate to be advised by Sepehr Assadi.
My research interests mainly focus on the intersections between Theoretical Computer Science and Machine Learning. In particular, I am interested in the theoretical foundations of practical learning problems and the design of algorithms with rigorous guarantees therein. Topics under this umbrella include learning under sublinear models, learning under uncertainty and partial information, and machine learning applications with provable guarantees. More broadly, I am also interested in streaming algorithms and lower bounds, graph algorithms, statistical learning theory, and data processing privacy.
Prior to Rutgers, I received my MSc degree from University College London (UCL), England. I got my B.Eng. degree from Northwestern Polytechnical University, China. I also spent a semester at Shih Hsin University, Taiwan, and briefly worked at Sichuan University, China.
Office: Hill 427 Theory Lab