Adjunct Professor of Computer Science, Duke University; Professor of Computer Science, Carnegie Mellon University.
- Faculty Area:
- Artificial Intelligence
- conitzer at cs.duke.edu
- D207 LSRC
- (919) 660-6503
- Web page:
Ph.D., Computer Science, Carnegie Mellon University, 2006
M.S., Computer Science, Carnegie Mellon University, 2003
A.B., Applied Mathematics, Harvard University, 2001
Honors & Awards
Fellow of the Association for Computing Machinery (ACM), 2019
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2019
AAAI Outstanding Student Paper Honorable Mention (co-author), 2018
Computing Community Consortium Blue Sky Award, 2017
Guggenheim Fellowship, 2015
Social Choice and Welfare Prize, 2014
Kavli Fellow, U.S. National Academy of Sciences (NAS) Kavli Frontiers of Science, 2012
Duke Bass Society of Fellows, 2011
Presidential Early Career Award for Scientists and Engineers (PECASE), 2011
IJCAI Computers and Thought Award, 2011
IEEE Intelligent Systems' "AI's Ten to Watch", 2011
NSF CAREER Award, 2010
AAAI Outstanding Paper Award, 2008
AAMAS Pragnesh Jay Modi Best Student Paper Award (co-author), 2008
Alfred P. Sloan Research Fellowship, 2008
ACM Doctoral Dissertation Award Honorable Mention, 2007
IFAAMAS Victor Lesser Distinguished Dissertation Award, 2007
IBM Ph.D. Fellow, 2005/2006
10th place, silver medalist, ACM Collegiate Programming Contest WorldFinals, 2001
- Vincent Conitzer. A Puzzle about Further Facts. Erkenntnis, June 2019, Volume 84, Issue 3, pp. 727-739.
- Hanrui Zhang, Yu Cheng, and Vincent Conitzer. Distinguishing Distributions When Samples Are Strategically Transformed. In Proceedings of the Thirty-Third Conference on Neural Information Processing Systems (NeurIPS-19), Vancouver, Canada, 2019.
- Vincent Conitzer. Designing Preferences, Beliefs, and Identities for Artificial Intelligence. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) Senior Member / Blue Sky Track, Honolulu, HI, USA, 2019.
- Vincent Conitzer. The Exact Computational Complexity of Evolutionarily Stable Strategies. Mathematics of Operations Research. DOI:10.1287/moor.2018.0945
- Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John Dickerson, and Vincent Conitzer. Adapting a Kidney Exchange Algorithm to Align with Human Values. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA, USA, 2018.