I’m a PhD student at Stanford CS. I typically go by Chen (the second segment of my first name), since it’s easier to pronounce.
My interests are statistical machine learning and deep learning. Currently, I focus on studying machine learning privacy and neural language models. Aside, I’m also particularly interested in numerical and computational problems in machine learning, as well as applying ML to source code.
In the past, I did my undergrad at the University of Toronto, where I did research mainly with David Duvenaud and Murat Erdogdu, and collaborated with many other wonderful “neural networks”. After undergrad, I participated in Google’s AI Residency program, where I was fortunate to be mentored by Geoffrey Hinton, Mohammad Norouzi, Danny Tarlow, and 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