Christian R. Shelton, Associate Professor
Christian R. Shelton received his B.S. in Computer Science from Stanford University in 1996. He then obtained his Ph.D. from MIT in 2001 under the guidance of Tomaso Poggio in the area of reinforcement learning. From 2001 to 2003, he was a post doctoral scholar in Daphne Koller's group at Stanford.
Dr. Shelton is an Associate Professor of Computer Science at the University of California at Riverside. He joined the faculty in 2003. He spent six months in 2003 and 2004 as a visiting faculty member at Intel Research. He was the Managing Editor of the Journal of Machine Learning Research from 2003 through 2008. He currently serves on the Editorial Board of the Journal of Artificial Intelligence Research.
Dr. Shelton's research interest is in statistical approaches to artificial intelligence, mainly in the areas of machine learning and dynamic processes. He also works at the intersection of learning and topics as varied as computer vision, sociology, game theory, decision theory, and computational biology.