### Jeff Shen

I am a second year graduate student in the Department of Astrophysical Sciences at Princeton University. I work on invariances in neural networks with Peter Melchior and on foundation models for astrophysical simulations with Shirley Ho.

I am interested in probabilistic modelling (hierarchical & latent variable models, neural networks) and statistical computation (Markov chain Monte Carlo, automatic differentiation, scalable inference). In astronomy, I am interested in the formation and evolution of the Milky Way, and like to use survey data (*Gaia*, APOGEE) to study the Galaxy.

I completed my undergraduate degree in Astronomy & Astrophysics and Statistics at the University of Toronto, where I worked on Bayesian hierarchical models for Milky Way mass estimates with Gwen Eadie and on software instrumentation for Dragonfly Narrowband with Bob Abraham.