Tim G. J. Rudner: Inter-domain Deep Gaussian Processes


Tim G. J. Rudner is a PhD Candidate in the Department of Computer Science at the University of Oxford, supervised by Yarin Gal and Yee Whye Teh. His research interests span Bayesian deep learning, reinforcement learning, and variational inference. He holds a master’s degree in statistics from the University of Oxford and an undergraduate degree in mathematics and economics from Yale University. Tim is also an AI Fellow at Georgetown University's Center for Security and Emerging Technology (CSET), a Fellow of the German National Academic Foundation, and a Rhodes Scholar.