Matthew Shen

I am a third-year PhD student in the Statistics Department at Columbia University, advised by David M. Blei. I am also a member of the Columbia Core AI Lab (CAIL). 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 causal inference, invariant and robust machine learning, mechanistic interpretability, and adaptive experimentation. I am also interested in generative and probabilistic modeling.