I’m a PhD student at Stanford CS. I go by Chen (the second segment of my first name), since it’s easier to pronounce.
My interests are statistical machine learning, deep learning, and natural language processing. I’m broadly interested in building trustworthy neural models that generalize with systematicity and are aligned with human values. I study privacy, fairness, and robustness aspects of machine learning with a focus on problems related to large neural language models.
Before, I used to work on more technical topics at the intersection of numerical methods, applied probability, and computational statistics.
I’m grateful for the support of a Stanford Graduate Fellowship.
PhD in CS, 2021 -
BSc in CS, Math & Stats, 2015 - 2019
University of Toronto