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Kevin Jamieson is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering and an Adjunct Professor in the Department of Statistics at the University of Washington. He completed his B.S. in 2009 from the University of Washington, followed by an M.S. in 2010 from Columbia University, and earned his Ph.D. in electrical engineering in 2015 from the University of Wisconsin - Madison. His postdoctoral work was at the University of California, Berkeley, specifically within the AMP Lab, focusing on machine learning and related fields. His research primarily revolves around using already-collected data to inform future measurements and enhance closed-loop systems. His contributions to active learning and statistical algorithms have been recognized with awards such as the NSF CAREER award and the Amazon Faculty Research award. He has published extensively in the field, focusing on diverse applications ranging from human perception studies to hyperparameter optimization in deep learning. Jamieson's work has significantly advanced the theoretical understanding as well as practical applications of machine learning in various domains.
University of Washington • Seattle, WA
Teaches courses and conducts research in the field of machine learning and statistics.
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