Geoff Pleiss is an assistant professor in the Department of Statistics at the University of British Columbia, and a CIFAR AI Chair affiliated with the Vector Institute in Ontario. He earned his Ph.D. in Computer Science from Cornell University in 2020 under the supervision of Prof. Kilian Weinberger. Following his doctoral studies, he worked with Prof. 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, spatiotemporal modeling, and Bayesian optimization. He is also an avid open source contributor, having co-founded the GPyTorch, LinearOperator, and CoLA software libraries.