I am a full professor at the University of Alberta. My research focuses on machine learning, games, and robotics, and I'm particularly fascinated by the problem of how computers can learn to play games through experience. I am the leader of the Computer Poker Research Group, which has built some of the best poker playing programs on the planet. The programs have won international AI competitions as well as being the first to beat top professional players in a meaningful competition. I am also a principal investigator in the Reinforcement Learning and Artificial Intelligence (RLAI) group and the Alberta Ingenuity Centre for Machine Learning (AICML). I completed my Ph.D. at Carnegie Mellon University, where my dissertation was focused on multiagent learning and I was extensively involved in the RoboCup initiative. My research has been featured on the television programs Scientific American Frontiers, National Geographic Today, and Discovery Channel Canada, as well appearing in the New York Times, Wired, on CBC and BBC radio, and twice in exhibits at the Smithsonian Museums in Washington, DC.