Andrew Gordon Wilson

Research Lead at PerplexityProfessor, Courant Institute and Center for Data Science at New York University

Wilson helped establish Bayesian deep learning and co-developed stochastic weight averaging, a widely used way to improve neural networks, as well as GPyTorch, software that makes uncertainty-aware models practical at scale. His work connects theory with tools for reliable learning systems.