PhD Candidate - University of Oxford
Tim G. J. Rudner is a Ph.D. Candidate in Statistical Machine Learning at the University of Oxford and an AI Fellow at Georgetown University’s Center for Security and Emerging Technology (CSET). Previously, Tim worked on the theoretical foundations of automated decision making as a Visiting Research Scholar at UC Berkeley’s Artificial Intelligence Lab, developed new learning algorithms for knowledge transfer at Amazon Research, and built machine learning systems for automated disaster response at the European Space Agency’s Frontier Development Lab. He holds an M.Sc. in Statistics from the University of Oxford and a B.S. in Applied Mathematics and in Economics from Yale University. Tim is also a Fellow of the German Academic Scholarship Foundation and a Rhodes Scholar.
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