I am a Flatiron Research Fellow in the Center for Computational Mathematics at Flatiron Institute. I am broadly interested in geometric deep learning and mechanistic understanding of foundation models.
I completed my PhD in 2024 from Johns Hopkins University, where I was very fortunate to be co-advised by Professor Soledad Villar and Professor Carey Priebe. I was a research intern at Apple Machine Learning Research in 2023 and 2024.
Ph.D. in Applied Math & Stat, 2024
Johns Hopkins University
M.S. in Data Science, 2020
New York University
B.S. in Statistics and Economics, 2016
University of Hong Kong