About Me

I am a CS Ph.D student at the University of Chicago, advised by Prof. Victor Veitch. My research interest is causality for machine learning, robust/trustworthy machine learning, representation learning, and unsupervised/semi-supervised learning.

Before coming to UChicago, I worked in the AI Dev Tech group at Nvidia. I was also a research fellow at Harvard, where I worked with Prof. Cengiz Pehlevan in the Theoretical Neuroscience Group. I received my master’s in Computer Science from Columbia University, and graduated, as a bronze tablet recipient, from the University of Illinois Urbana-Champaign with double degrees in Electrical Engineering and Math.