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
A CNN encoder-decoder model to navigate traffic environment using bird's eye view images.
An interative visualization showing results of topic modelling on 33k Wikipedia articles
An interactive jupyter notebook implementing live chatbot using N-gram blocking
A study of three matrix imputation methods on different types of missing data patterns
A data visualization showing global inequities of water usage and conservation suggestions
A data-driven graphic story. Collaboration with Yue Qiu, Justina Lee and Adrian Leung in Bloomberg.