Hi! I am a PhD candidate 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. I am generously supported by a Google Ph.D. Fellowship in Algorithms, Optimizations and Markets and a Berkeley Graduate Fellowship.
My research interests lie at the intersection of machine learning, optimization, statistics and economics, 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 online learning, auction and game theory, robust optimization, algorithmic fairness, recommender systems. Recently I am also interested in the applications of ML in matching platforms and materials discovery.
In 2021 summer, I worked at Microsoft Research as a research intern. In 2022 I work part-time as a machine learning intern at CNN. Before Berkeley, I grew up in Beijing and studied in Hong Kong with a BA triple majored in physics, mathematics and computer science from Hong Kong University of Science and Technology (with first class honors).
In my spare time I like long-distance running, photography, playing piano, listening to music. My pronouns are she/her/hers.