Andrew Gordon Wilson


We are a research group at New York University, wishing to understand the foundations of generalization, learning and decision making towards developing intelligent systems. We often (1) take a probabilistic approach; (2) care about automatically discovering scientifically interpretable structure in data; and (3) are excited about connections with physics, numerical methods and scientific computing. We are particularly active in building methods for probabilistic deep learning, scalable Gaussian processes, kernel learning, and training of deep neural networks. We believe in open and reproducible research. If you'd like to try out these methods check out our code page.

Group Leader
Andrew Gordon Wilson

Postdoctoral Fellow
Currently considering applications

PhD Students
Greg Benton
Marc Finzi
William Herlands
Pavel Izmailov
Polina Kirichenko
Wesley Maddox
Samuel Stanton

Masters Students
Ian Delbridge
Ke Alexander Wang

Ben Athiwaratkun (PhD; now at Amazon AI Research)
Patrick Nicholson (Masters)
Michael Luo (Masters)