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Yisong Yue is a Professor in the Computing and Mathematical Sciences Department at the California Institute of Technology (Caltech). His academic path includes a B.S. from the University of Illinois in 2005 and a Ph.D. from Cornell University in 2010. Before attaining his current title in 2020, he served as an Assistant Professor at Caltech from 2014 to 2020. His research interests primarily lie in the application of statistical machine learning theories, focusing on interactive and structured machine learning. Yue has significantly contributed to several areas including information retrieval, recommender systems, and text classification. Additionally, he explores adaptations in learning personal user interfaces through implicit human feedback. His work extends to clinical therapy applications, tutoring systems, data-driven animation, and behavior analysis along with sports analytics and experiment design in science. Furthermore, he delves into optimizing learning processes, policy learning in robotics, and solving adaptive planning and allocation challenges.
California Institute of Technology • Pasadena, CA
Taught and conducted research in machine learning and data mining.
California Institute of Technology • Pasadena, CA
Leading research on statistical machine learning and teaching advanced courses.
Most Caltech graduate programs are PhD-only. GRE General and Subject tests vary by department; many have made them optional or no longer accept them.