Pascal Poupart received a Ph.D. degree in Computer Science from the University of Toronto in 2005. Since August 2004, he is an Assistant Professor in the David R. Cheriton School of Computer Science at the University of Waterloo. Poupart's research focuses on the design and analysis of scalable algorithms for sequential decision making under uncertainty (including Bayesian reinforcement learning), with application to assistive technologies in eldercare, spoken dialogue management and information retrieval. He has served on the program committee of several international conferences, including AAMAS (2006, 2007), UAI (2005, 2006, 2007), ICML (2007), AAAI (2005, 2006, 2007), NIPS (2007) and AISTATS (2007).
Nov 30, 2011 2756 views 
