Kevin Leyton-Brown is a professor of Computer Science and a Distinguished University Scholar at the University of British Columbia. He also holds a Canada CIFAR AI Chair at the Alberta Machine Intelligence Institute and is an associate member of the Vancouver School of Economics. He received a PhD and an M.Sc. from Stanford University (2003; 2001) and a B.Sc. from McMaster University (1998). He studies artificial intelligence, mostly at the intersection of machine learning and either the design and operation of electronic markets or the design of heuristic algorithms. He is increasingly interested in large language models, particularly as components of agent architectures. He believes we have both a moral obligation and a historical opportunity to leverage AI to benefit underserved communities, particularly in the developing world.

He has co-written over 150 peer-refereed technical articles and two books ("Multiagent Systems" and "Essentials of Game Theory"); his work has received over 26,000 citations and an h-index of 61. He is an Fellow of the Royal Society of Canada (RSC; awarded in 2023), the Association for Computing Machinery (ACM; awarded in 2020), and the Association for the Advancement of Artificial Intelligence (AAAI; awarded in 2018). He was a member of a team that won the 2018 INFORMS Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, described as "the leading O.R. and analytics award in the industry." Leyton-Brown also received UBC's 2015 Charles A. McDowell Award for Excellence in Research, a 2014 NSERC E.W.R. Steacie Memorial Fellowship—previously given to a computer scientist only 10 times since its establishment in 1965—and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer Science. He and his coauthors have received paper awards from AIJ, JAIR, ACM-EC, KDD, AAMAS and LION, and numerous medals for the portfolio-based SAT solver SATzilla at international SAT solver competitions (2003–15).

He has co-taught two Coursera courses on "Game Theory" to over a million students (and counting!), and has received awards for his teaching at UBC—notably, a Killam Teaching Prize. He served as General Chair of the 2023 ACM Conference on Economics and Computation (ACM-EC); Program Co-Chair for AAAI 2021 (one of the top two international conferences on artificial intelligence); chair of the ACM Special Interest Group on Economics and Computation; associate editor for the Artificial Intelligence Journal (AIJ), the Journal of Artificial Intelligence Research (JAIR), ACM Transactions on Economics and Computation (ACM-TEAC), and AI Access; and Program Chair for ACM-EC 2012.

He has held a wide range of visiting professor/researcher positions, at: the Simons Institute for the Theory of Computing at UC Berkeley (Apr–May 2022; Aug–Sep, Nov 2016; Sep–Dec 2015); Technion Israel Institute of Technology (April 2018); Microsoft Research New York City (Jan–Feb 2018); Microsoft Research New England (Mar–Jun 2016); Harvard's EconCS group (Mar–Jun 2016); the Institute for Advanced Studies at Hebrew University of Jerusalem, Israel (Mar–Jun 2011); Makerere University in Kampala, Uganda (Sep 2010–Jan 2011).

He currently advises Auctionomics, AI21, and OneChronos. He is a co-founder of Kudu.ug and Meta-Algorithmic Technologies. He was scientific advisor to UBC spinoff Zite until it was acquired by CNN in 2011. His past consulting has included work for Zynga, Qudos, Trading Dynamics, Ariba, and Cariocas.

External links: