Andrew Gordon Wilson, PhD
Andrew is an Assistant Professor at the Courant Institute of Mathematical Sciences and Center for Data Science at New York University. His research focuses on probabilistic machine learning, Gaussian processes, Bayesian deep learning, and geometric deep learning. He co-founded the popular GPyTorch and BoTorch libraries for scalable Gaussian processes and Bayesian optimization. Andrew is an area chair for all the major machine learning conferences. He received his PhD in statistical machine learning at the University of Cambridge, was a research fellow at Carnegie Mellon University, and faculty at Cornell University.