Jeff Shen
I am a PhD Candidate at Princeton University, where I research machine learning for the physical sciences. I also work with the Polymathic AI group, led by my advisor Shirley Ho, on multimodal foundation models. My interests span deep generative modelling, probabilistic models, representation learning, and developing techniques that make the most of incomplete data — enabling joint training across many datasets rather than analyzing each in isolation. I am partially supported by the NSERC Doctoral Fellowship and by the Citadel GQS PhD Fellowship.
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.
I will be spending Summer 2026 in Los Gatos, California as an AI/ML Research Intern at Netflix.