Vancouver, British Columbia, Canada
Kevin Leyton-Brown is a professor of computer science at the University of British Columbia and a Canada CIFAR AI Chair, Amii. He holds a PhD and M.Sc. from Stanford University (2003; 2001) and a B.Sc. from McMaster University (1998). He studies the intersection of computer science and microeconomics, addressing computational problems in economic contexts and incentive issues in multiagent systems. He also applies machine learning to the automated design and analysis of algorithms for solving hard computational problems. He has co-written two books, "Multiagent Systems" and "Essentials of Game Theory," and over ninety peer-refereed technical articles. He and his coauthors have received paper awards from JAIR, ACM-EC, AAMAS and LION, and numerous medals for the portfolio-based SAT solver SATzilla at international SAT competitions (2003-12). He was program chair for the ACM Conference on Electronic Commerce (ACM-EC) in 2012, and serves as an associate editor for the Journal of Artificial Intelligence Research (JAIR), the Artificial Intelligence Journal (AIJ), and ACM Transactions on Economics and Computation. He co-taught the Coursera course "Game Theory" to over 130,000 students, and has received awards for his teaching at UBC. He split his 2010-11 sabbatical between Makerere University in Kampala, Uganda, and the Institute for Advanced Studies at Hebrew University of Jerusalem, Israel. He has served as a consultant for Trading Dynamics Inc., Ariba Inc., Cariocas Inc., Auctionomics, Inc., and kudu.ug, and was scientific advisor to Vancouver-based Zite Inc. until it was acquired by CNN in 2011. Specialties: artificial intelligence, multiagent systems, game theory, empirical algorithmics, electronic commerce, auction theory, automated algorithm design, bounded rationality, machine learning, combinatorial auctions
Department of Computer Science
Department of Computer Science
Department of Computer Science
Helping to advise the FCC on computational issues arising in their upcoming "incentive auction" of radio spectrum.
Advisor to the CTO and CEO on Machine Learning strategy
Product development; technology development; project management; strategy.