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Yuxin Chen is an Assistant Professor in the Department of Computer Science at the University of Chicago. His research interests broadly encompass probabilistic reasoning and machine learning. He focuses on developing interactive machine learning systems that involve active learning, sequential decision-making, and interpretable models in machine teaching. Prior to joining the University of Chicago, Yuxin was a postdoctoral scholar in the Department of Computing and Mathematical Sciences at the California Institute of Technology (Caltech). He received his Ph.D. in Computer Science from ETH Zurich in 2017. Throughout his career, Yuxin has been recognized with several prestigious fellowships and awards, including the Google European Doctoral Fellowship, the Swiss National Science Foundation Early Postdoc.Mobility Fellowship, and the PIMCO Postdoctoral Fellowship in Data Science. He is also involved in the Machine Learning Group at the University of Chicago, which seeks to advance the foundational principles and applications of machine learning and artificial intelligence.
University of Chicago • Chicago, IL
Teaching and conducting research in interactive machine learning.
California Institute of Technology • Pasadena, CA
Research in the Department of Computing and Mathematical Sciences.
Department of Philosophy