I am a third-year PhD student at the Center for Data Science at New York University, where I am fortunate to be advised by Jonathan Niles-Weed. My interests lie at the intersection of optimization theory, computational and statistical optimal transport, and problems in deep learning. My research is supported in part by NSF, NSERC, Google, and most recently, Meta AI Research. I’m super excited to be working with Brandon Amos and Ricky Chen for the next academic year!
|Sep 12, 2023||Co-organizing the Optimal Transport and Machine Learning (OTML) workshop at NeurIPS 2023 – submit your wonderful papers!|
|Jun 19, 2023||Gave a talk at Foundations of Computational Mathematics in Paris!|