Kevin Leyton-Brown

Photo credit: Martin Lipman and NSERC

Kevin Leyton-Brown
Distinguished University Scholar
Canada CIFAR AI Chair, Amii

Professor

Computer Science

University of British Columbia

 

2366 Main Mall, Room X565

Vancouver, BC V6T 1Z4

604-822-1453 (phone)

604-822-5485 (fax)

email

Notable Recent News
Academic Affiliations  I'm a Professor in the Computer Science Department and a Distinguished University Scholar at the University of British Columbia, an associate member of the Vancouver School of Economics, and an associate faculty member at the Alberta Machine Intelligence Institute (Amii) via a Canada CIFAR AI Chair. I'm Director of the UBC ICICS Centre for Artificial Intelligence Decision-making and Action (CAIDA) and of its Cluster on Artificial Intelligence Methods for Scientific Impact (AIM-SI). I am affiliated with the Institute for Computing, Information & Cognitive Systems (ICICS), the Peter Wall Institute for Advanced Studies (PWIAS), the Pacific Institute for the Mathematical Sciences (PIMS), the Laboratory for Computational Intelligence (LCI) and the Algorithms Lab. I run the Game Theory and Decision Theory Seminar (GT-DT)
Research Community Recognitions  I'm a Fellow of the Association of Computing Machinery (ACM) and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI).
Industry Affiliations  I currently advise AI21 Labs, Auctionomics, and OneChronos. I have co-founded two companies: Kudu.ug and Meta-Algorithmic Technologies. In the past, I have consulted for Cryptic Labs, Qudos, Zynga, Trading Dynamics, Ariba, Cariocas, and was scientific advisor to Vancouver-based Zite until it was acquired by CNN in 2011.
Past Academic Affiliations In 2018 I was a visiting researcher at Microsoft Research New York City and a visiting faculty member at both Technion IIT and Hebrew University of Jerusalem. In 2016 I was a long-term visitor at the Simons Institute program on Algorithms and Uncertainty at UC Berkeley, a visiting researcher at Microsoft Research New England, and a visiting faculty member at Harvard University. In 2015 I was a long-term visitor at the Simons Institute program on Economics and Computation at UC Berkeley. On my 2010–11 sabbatical I visited Makerere University in Kampala, Uganda, and Hebrew University of Jerusalem's Institute for Advanced Studies. I'm a former member of Yoav Shoham's Multiagent Group in the Artificial Intelligence Lab of Stanford University's Department of Computer Science.
Editorial  I am an associate editor of the ACM Transactions on Economics and Computation (ACM-TEAC), and AI Access, and was previously an associate editor of the Artificial Intelligence Journal (AIJ) and the Journal of AI Research (JAIR). I was Program Chair for AAAI in 2021 and for ACM-EC in 2012. I was chair of the ACM Special Interest Group on Electronic Commerce (SIG-Ecom) from 2015–2019 and a member of the Board of Directors of the  International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) from 2014–2020. I have been Tutorial Chair for IJCAI, AAAI and ACM-EC. I've guest edited for Games and Economic Behavior (GEB), ACM-TEAC, and AI Magazine. I have been an area chair for AAAI and IJCAI, and have held senior program committee and program committee roles at a wide range of conferences across AI, machine learning, algorithmic game theory, and beyond.
Multiagent Systems   Essentials of Game Theory
Prospective Students  For students not enrolled at UBC: please do not contact me directly; instead, apply to my department and indicate an interest in working with me. You can learn about my research area from my free online class. I am likely to take on new PhD students from outside UBC only when I am already familiar with their publications from conferences that I attend. I am likely to take on other students for an MSc with the possibility of continuing to a PhD. For students who are already at UBC, please take my grad class and drop by GT-DT if you're interested in the intersection between artificial intelligence, optimization, and strategic behavior.