Kevin Leyton-BrownAssociate Professor
University of British Columbia
Vancouver, BC V6T 1Z4
Some Recent News
- NSERC E.W.R. Steacie Memorial Fellowship I've just received a 2014 Steacie award. Recipients span Canadian science and engineering; I am the 11th computer scientist to win since it was established in 1965. The award comes with significant research funding and will allow me to focus intensively on research by providing two years of full teaching and administrative relief.
- Game Theory II MOOC My Massive, Open Online Course on Advanced Game Theory just ran for the second time; it started January 13, 2014. This course is joint with Matt Jackson and Yoav Shoham of Stanford University. Almost 300,000 people have enrolled in this course and its predecessors overall, making it Coursera's 4th-biggest course by lifetime enrollment.
- Spectrum Auctions I'm helping Auctionomics to design algorithms for the next round of FCC auctions, a huge-scale reallocation of US radio spectrum from TV to mobile.
Affiliations I'm a member of the Computer Science Department at the University of British Columbia. I'm affiliated with the Institute for Computing, Information & Cognitive Systems (ICICS), the Pacific Institute for the Mathematical Sciences (PIMS), the Laboratory for Computational Intelligence (LCI) and the Bioinformatics, and Empirical & Theoretical Algorithmics Laboratory (BETA lab). I participate in the Game Theory and Decision Theory Seminar (GT-DT), the Empirical Algorithmics Reading Group (EARG), and the LCI forum. I'm a faculty associate at the Peter Wall Institute for Advanced Studies. 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. I was Scientific Advisor to Zite.com until it was acquired by CNN in 2011. I am a cofounder of Kudu.ug and an affiliate of Auctionomics.com.
Editorial I am an associate editor of the Journal of AI Research (JAIR), the Artificial Intelligence Journal (AIJ), and the ACM Transactions on Economics and Computation (ACM-TEAC). I was program chair for ACM-EC in 2012. I've guest edited for Games and Economic Behavior (GEB), ACM-TEAC, and AI Magazine. I have served on senior program committees at AAAI, AAMAS, ACM-EC, IJCAI, and UAI, and on program committees at AMEC, AMMA, CP, CROCS, TADA.
Schedule Please check the busy slots on my free-busy calendar before proposing a meeting time. You can click the "busy" slots to see the duration of each appointment.
Books I coauthored Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, and Essentials of Game Theory: A Concise, Multidisciplinary Introduction, both with Yoav Shoham.
Graduate Students and Postdocs My current students are: Alexandre Fréchette (PhD, co-supervised with Holger Hoos), Steve Ramage (PhD, co-supervised with Holger Hoos), Baharak Rastegari (PhD, co-supervised with Anne Condon), Chris Thornton (MSc, co-supervised with Holger Hoos), David Thompson (PhD), James Wright (PhD), Lin Xu (PhD, co-supervised with Holger Hoos). Frank Hutter is a current postdoc. My graduated students are: Albert Xin Jiang (PhD 2011; MSc. 2006), Chris Nell (MSc. 2011), James Wright (MSc. 2010); Frank Hutter (PhD 2009); Ashiqur KhudaBukhsh (MSc. 2009); Erik Zawadzki (MSc. 2008; BSc. Hon 2006), David Thompson (MSc. 2007), Asher Lipson (MSc. 2005).
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. 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 game theory/multiagent systems, or take Holger Hoos' grad class and drop by EARG if you're interested in empirical algorithmics.