He spent two years as a postdoctoral associate at Princeton University, working with Mengdi Wang.
Education
He obtained his Ph.D. in Computer Sciences from the University of Wisconsin-Madison in 2021, where he was advised by Jerry Zhu. He received his bachelor's degree in Applied Mathematics from UCLA in 2016.
Background
Research interests include Online and Reinforcement Learning, Algorithmic Robustness against Biased and Noisy Data, Representation Learning, Human-in-the-loop Learning, and Learning for Science. Currently, he is a tenure-track assistant professor in the Faculty of Computing and Data Sciences at Boston University.
Miscellany
He is constantly looking for self-motivated Ph.D. students with a strong mathematical and/or programming background to join his team.