Hi! I am a PhD candidate in Computer Science at University of California, Berkeley, where I am very fortunate to be advised by Michael I. Jordan. Prior to that I received a B.Sc. triple-majored in Physics, Mathematics and Computer Science from Hong Kong University of Science and Technology (with first class honors).
My research interests lie at the intersection of machine learning, statistics and economics, in particular building machine learning systems that are more robust, equitable, and responsive to the evolving social and economic needs. Recently I am also interested in the applications of ML in educational platforms and materials discovery.
I am affiliated with Berkeley AI Research (BAIR), the CLIMB Center, and RISE Lab. I am generously supported by a Google Ph.D. Fellowship in Algorithms, Optimizations and Markets and a Berkeley Graduate Fellowship.
In 2021 summer, I was a research intern at Microsoft Research New England, hosted by David Alvarez-Melis. In 2022 spring I am a part-time machine learning intern at CNN. In my spare time I like long-distance running, photography, playing piano, listening to music. My pronouns are she/her/hers.