|Craig Boutilier's Academic Biography
Craig Boutilier joined Google as a Principal Scientist in January 2015. Prior to that (through January 2017), he was a Professor in the Department of Computer Science at the University of Toronto and Canada Research Chair in Adaptive Decision Making for Intelligent Systems. He received his Ph.D. in Computer Science from the University of Toronto in 1992, and worked as an Assistant and Associate Professor at the University of British Columbia from 1991 until his return to Toronto in 1999. He served as Chair of the Department of Computer Science at Toronto from 2004-2010. He was co-founder (with Tyler Lu) of Granata Decision Systems from 2012-2015.
Boutilier was a consulting professor at Stanford University from 1998-2000, an adjunct professor at the University of British Columbia from 1999-2010, and a visiting professor at Brown University in 1998, at the University of Toronto in 1997-98, at Carnegie Mellon University in 2008-09, and at Université Paris-Dauphine (Paris IX) in the spring of 2011. He served on the Technical Advisory Board of CombineNet, Inc. from 2001 to 2010.
Boutilier's research interests have spanned a wide range of topics, from knowledge representation, belief revision, default reasoning, and philosophical logic, to probabilistic reasoning, decision making under uncertainty, multiagent systems, and machine learning. His current research efforts focus on various aspects of decision making under uncertainty: preference elicitation, mechanism design, game theory and multiagent decision processes, economic models, social choice, computational advertising, Markov decision processes, reinforcement learning and probabilistic inference. He has published over 200 articles in refereed journals, conference proceedings, and other edited collections. He holds eight patents (with various others more pending).
Boutilier is a past Editor-in-Chief of the Journal of Artificial Intelligence Research (JAIR). He was also a past Associate Editor with the ACM Transactions on Economics and Computation (TEAC), the Journal of Artificial Intelligence Research (JAIR), the Journal of Machine Learning Research (JMLR), and Autonomous Agents and Multiagent Systems (AAMAS); and he has sat on the editorial/advisory boards of several other journals. Boutilier has organized a number of international conferences and workshops, including his work as Program Chair of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09) and Program Chair of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI-2000). He has also served on the conference program committees of roughly 60 leading international conferences.
Boutilier is a Fellow of the
Royal Society of Canada (RSC),
Association for Computing Machinery (ACM)
Association for the Advancement of Artificial
Intelligence (AAAI). He was the recipient of the 2018
ACM/SIGAI Autonomous Agents Research Award,
He was awarded a
Tier I Canada Research Chair,
an Isaac Walton Killam Research Fellowship,
and an IBM Faculty Award.
He received the Killam Teaching Award from the University of British Columbia
in 1997. He has also received a number of Best Paper awards including:
2009 IJCAI-JAIR Best Paper Prize
(with R. Brafman, C. Domshlak, H. Hoos, D. Poole, from the
Journal of Artificial Intelligence Research); the
2014 AIJ Prominent Paper Award
(with S. Sanner, from the journal Artificial Intelligence); the
2018 NeurIPS Best Paper Award
(w. T. Lu, D. Schuurmans); and the
2022 AIJ Prominent Paper Award
(with I. Caragiannis, S. Haber, T. Lu, A. Procaccia
and O. Sheffet, from the journal Artificial Intelligence).