Kevin Leyton-Brown, University of British Columbia

Associate Professor Computer Science Vancouver, British Columbia kevinlb@cs.ubc.ca Office: (604) 822-1543

Bio/Research

Kevin Leyton-Brown is an associate professor in computer science at the University of British Columbia. He holds a PhD and M.Sc. from Stanford University (2003; 2001) and a B.Sc. from McMaster University (1998). Much of his work is at the intersection of computer science and microeconomics, addre...

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Bio/Research

Kevin Leyton-Brown is an associate professor in computer science at the University of British Columbia. He holds a PhD and M.Sc. from Stanford University (2003; 2001) and a B.Sc. from McMaster University (1998). Much of his work is at the intersection of computer science and microeconomics, addressing computational problems in economic contexts and incentive issues in multiagent systems. He also studies the application of 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 eighty peer-refereed technical articles.

With his coauthors, he has received best paper awards from JAIR, ACM-EC and LION, and numerous medals for the portfolio-based SAT solver SATzilla at the International SAT Competition. He is program chair for the ACM Conference on Electronic Commerce (ACM-EC), and associate editor of the Journal of Artificial Intelligence Research (JAIR), the Artificial Intelligence Journal (AIJ), and ACM Transactions on Economics and Computation. He split his 2010-11 sabbatical between Makerere University in Kampala, Uganda, and the Institute for Advanced Studies at Hebrew University in Jerusalem, Israel. He has served as a consultant for Trading Dynamics Inc., Ariba Inc., and Cariocas Inc., and was scientific advisor to Zite Inc until it was acquired by CNN in 2011.



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