Matthew Shen

I am a second-year PhD student in the Statistics Department at Columbia University, advised by David M. Blei, and am a member of the Columbia Core AI Lab (CAIL). I also work with John P. Cunningham. Previously, I completed B.A.s in Computer Science and Statistics at UC Berkeley, where I was fortunate to work with Jasjeet Sekhon and Chunlei Liu.

My research interests broadly span interpretable machine learning, invariance, causal representation learning, and sequential decision making. I am also interested in generative and probabilistic modeling.