Hi! I am a fourth-year PhD student in computer science at University of California, Berkeley, advised by Michael I. Jordan. I am affiliated with Berkeley AI Research (BAIR), the CLIMB Center, and RISE Lab.
My research interests lie at the intersection of machine learning, optimization, statistics and mechanism design, in particular building machine learning systems that are more robust, equitable, and responsive to the evolving economic and social needs. Some areas I am interested in and have worked on include distributed and robust optimization, algorithmic fairness, online learning algorithms, auction and game theory, causal inference.
Before Berkeley, I graduated with a BA triple majored in physics, mathematics and computer science from Hong Kong University of Science and Technology with first class honors. In 2021 summer, I worked at Microsoft Research New England (machine learning and statistics team) as a research intern.
I am generously supported by a Google Ph.D. Fellowship in Algorithms, Optimizations and Markets, and a Berkeley Gilbert Henry Gates Graduate Fellowship.
Separately I like long-distance running, reading, photography, and playing piano.