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Xiaojin Zhu is a Professor of Computer Science at the University of Wisconsin-Madison. He received his PhD from Carnegie Mellon University in 2005. His research interests focus on machine learning, emphasizing optimal teaching, sequential decision making, and learning game theory. Zhu has held several influential positions in the academic community, including serving as the conference chair for AISTATS and CogSci, and as an action editor for the Machine Learning Journal. He is a member of the DARPA ISAT advisory group and has been recognized with multiple awards for his contributions to the field, including the NSF CAREER Award and a number of paper awards. He is actively looking to mentor PhD students with interests in learning theory and game theory, and he is known for organizing workshops and sessions at various conferences.
University of Wisconsin-Madison • Madison, WI, USA
Teaching and researching in the field of Computer Science, focusing on machine learning and related areas.
Department: Department of Computer Sciences