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. My current research is centered around privacy, fairness, and robustness aspects of machine learning, with a focus on problems related to large language models.
Before, I worked on a variety of topics spanning Bayesian statistics, neural networks, numerical methods, applied probability, and computational statistics. I did my undergrad at the University of Toronto, where I did research mainly with David Duvenaud and Murat Erdogdu, and collaborated with Roger Grosse, Ting-Kam Leonard Wong, and Jimmy Ba. I joined the Google AI Residency program afterwards and mostly worked with Geoffrey Hinton, Danny Tarlow, and Mohammad Norouzi, and collaborated with Chris Maddison.
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