Biography

I’m a PhD student at Stanford CS advised by Tatsu Hashimoto and Carlos Guestrin. I go by Chen, the second segment of my first name; it’s easier to pronounce.

My research overlaps with the statistical machine learning, deep learning, and natural language processing communities. I work on developing methods to make machine learning trustworthy and aligned. My current research is centered around privacy, robustness, and alignment aspects of machine learning and AI, with a focus on aspects related to large language models. I am also generally interested in understanding intelligence and how it arises.

Before, I worked on a variety of topics spanning Bayesian statistics, neural networks, numerical methods, and applied probability. I did my undergrad at the University of Toronto, where I did research with David Duvenaud and Murat Erdogdu. I also had the fortune to learn from Roger Grosse, Ting-Kam Leonard Wong, Jimmy Ba, and Chris Maddison. I joined the Google AI Residency program afterwards and worked with Geoffrey Hinton, Danny Tarlow, and Mohammad Norouzi.

I’m grateful for the support of a Stanford Graduate Fellowship.

• lxuechen at cs dot stanford dot edu (or lxuechen at cs dot toronto dot edu)