His research has been featured on television programs such as Scientific American Frontiers, National Geographic Today, and Discovery Channel Canada, as well as appearing in the New York Times, Wired, CBC and BBC radio, and twice in exhibits at the Smithsonian Museums in Washington, DC.
Research Experience
Leader of the Computer Poker Research Group, which has built some of the best poker playing programs on the planet and won international AI competitions. Also a principal investigator in the Reinforcement Learning and Artificial Intelligence (RLAI) group and the Alberta Ingenuity Centre for Machine Learning (AICML).
Education
Completed his Ph.D. at Carnegie Mellon University, where his dissertation was focused on multiagent learning and he was extensively involved in the RoboCup initiative.
Background
Full professor at the University of Alberta. His research focuses on machine learning, games, and robotics, with a particular fascination for how computers can learn to play games through experience.