Google Research

Jacob Austin


Jacob Austin is an AI Resident in Google Research on the Brain Team, working on program synthesis and probabilistic modeling. His work at Google has focused on structured diffusion generative models for discrete data (including images, text, and code), and program synthesis for real programming languages using large neural network language models. Before joining Google, Jacob was an undergraduate at Columbia University advised by Hod Lipson, a chamber musician, and a runner.

Learn more about how we do research

We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work