Jeff Shen

I am a third year graduate student in the Department of Astrophysical Sciences at Princeton University. I work on foundation models for the physical sciences with the Polymathic AI group, led by my advisor Shirley Ho.

I am broadly interested in deep generative and probabilistic modelling (diffusion models, normalizing flows, hierarchical Bayesian models), methods for scalable training and inference, and interpretable machine learning. I am also interested in how we can adapt these models to be better suited to use in the physical sciences, particularly in astronomy.

I completed my undergraduate degree in Astronomy & Astrophysics and Statistics at the University of Toronto, where I worked on hierarchical Bayesian models with Gwen Eadie and on a distributed software system for the Dragonfly Narrowband telescope with Bob Abraham.