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Young Wu is a Ph.D. student in the Department of Computer Science at the University of Wisconsin-Madison. He is advised by Professor Xiaojin (Jerry) Zhu. Previously, he earned his B.S. in mathematics from the University of Waterloo, and M.A. and Ph.D. in economics from the University of Toronto. His research interest is in adversarial machine learning and game theory. His recent projects investigate the problem of attacking multi-agent reinforcement learning algorithms, with the purpose of building more robust algorithms to defend against such attacks.