I am a fourth-year PhD student in Computational and Applied Mathematics at University of Chicago, advised by Professor Bryon Aragam. My research focuses on learning structure from high-dimensional data and its related applications, such as parameter tuning, model interpretability and distillation, with theoretical guarantees.
PhD in Applied and Computational Mathematics, 2021
University of Chicago
MEng in Computational Science and Engineering, 2019
Harvard University
BSc in Mathematics and Computer Science, 2016
University of California, San Diego