b. 1975
Kevin Leyton-Brown is a Canadian computer scientist and Professor at the University of British Columbia, known for his work at the intersection of artificial intelligence, game theory, and multi-agent systems. His research spans algorithmic game theory, computational auctions, and the application of machine learning to combinatorial problems.
Co-authored the influential textbook 'Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations'
Co-authored 'Essentials of Game Theory: A Concise, Multidisciplinary Introduction'
Developed foundational work on empirical hardness models for combinatorial problems
Contributed to the design of the FCC incentive auction for spectrum reallocation
Advanced research on portfolio-based algorithm selection (SATzilla)