Geoff Pleiss is an assistant professor in the Department of Statistics at the University of British Columbia. Additionally, he holds a faculty
position at the Vector Institute. Geoff earned his Ph.D. in Computer Science from Cornell University in 2020, where he was supervised by Kilian
Weinberger. Following his doctoral studies, he worked with John Cunningham at the Zuckerman Institute of Columbia University. Geoff's research
interests encompass a wide range of topics in machine learning, including reliable neural networks, uncertainty quantification, probabilistic
modeling, and Bayesian optimization. He is also an avid open source contributor, having co-founded the GPyTorch, LinearOperator, and CoLA
software libraries.