Kevin Leyton-Brown

Kevin Leyton-Brown is a professor of Computer Science at the University of British Columbia and an associate member of the Vancouver School of Economics; he has lived in Vancouver since receiving his PhD from Stanford University in 2003. 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 is the recipient of UBC's 2015 Charles A. McDowell Award for Excellence in Research, a 2014 NSERC E.W.R. Steacie Memorial Fellowship, a 2013/14 UBC Killam Teaching Prize, and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer Science. He and his coauthors have received numerous paper awards from JAIR, ACM-EC, AAMAS and LION and medals from international SAT solver competitions (2003–15). He is chair of the ACM Special Interest Group on Electronic Commerce, and serves as an associate editor for the Artificial Intelligence Journal (AIJ) and ACM Transactions on Economics and Computation (ACM-TEAC).

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Game Theory II: Advanced Applications (Coursera) Coursera
Stanford University,The University of British Columbia

Game Theory II: Advanced Applications (Coursera)

Dive into the complex world of strategic interactions with Game Theory II: Advanced Applications. This course takes you beyond the basics, exploring sophisticated concepts like social choice theory, mechanism design, and auctions. Over four weeks, you'll gain a deep understanding of how to design effective strategies for collective decision-making and optimize outcomes in competitive environments.

Jun 22nd 2026
5-12 Weeks
Game Theory (Coursera) Coursera
Stanford University,The University of British Columbia

Game Theory (Coursera)

Dive into the fascinating world of Game Theory with this comprehensive online course. Explore the strategic interactions among rational agents and learn to apply these principles in various real-life situations, from international relations to market trading. Whether you're a student or a professional, this course will equip you with the tools to make informed decisions in competitive environments.

Jun 8th 2026
5-12 Weeks
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