Kevin Leyton-Brown (born May 12, 1975 in Canada) is a Professor of Computer Science at the University of British Columbia whose research spans computer science and economics.^[1] He studied at McMaster University and Stanford University, is associated with Yoav Shoham, and was awarded an NSERC E.W.R. Steacie Memorial Fellowship.

Leyton-Brown's research 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. Along with Matthew O. Jackson and Yoav Shoham, Leyton-Brown co-teaches a popular game theory course on Coursera.org.^[4,3]

Leyton-Brown serves as an associate editor for the Journal of Artificial Intelligence Research, the Artificial Intelligence journal, and ACM Transactions on Economics and Computation, and was program chair for the ACM Conference on Electronic Commerce in 2012.^[8,5,6,7] In 2023, Leyton-Brown was named a Fellow of the Royal Society of Canada.^[9]

Leyton-Brown and his coauthors have received the IJCAI-JAIR Best Paper Prize, the ACM SIGKDD test-of-time award for his work on Auto-WEKA, and numerous medals in international SAT competitions (2003–12).^[12,10,11] He was the recipient of a 2014 NSERC E.W.R. Steacie Memorial Fellowship, a 2013/14 Killam Teaching Prize, and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer Science.^[16,14,15] In 2018, he was elected an AAAI Fellow and an ACM Distinguished Member.^[17,18]

Yoav Shoham and Kevin Leyton-Brown authored Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, published by Cambridge University Press in 2009. Additionally, Kevin Leyton-Brown and Yoav Shoham co-authored Essentials of Game Theory: A Concise, Multidisciplinary Introduction, published by Morgan & Claypool Publishers in 2008.