Itai Ashlagi
Associate Professor of Management Science and Engineering
Bio
Itai Ashlagi is an Assistant Professor at the Management Science & Engineering Department.
He is interested in game theory and the design and analysis of marketplaces. He is especially interested in matching markets, for which he developed mechanisms using tools from operations/cs and economics. His work influenced the practice of Kidney exchange, for which he has become a Franz Edelman Laureate. Ashlagi received his PhD in operations research from the Technion-Israel Institute of Technology.
Before coming to Stanford he was an assistant professor of Operations Management at Sloan, MIT and prior to that a postdoctoral researcher at HBS. He is the recipient of the outstanding paper award in the ACM conference of Electronic Commerce 2009. His research is supported by the NSF including an NSF-CAREER award.
Academic Appointments
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Associate Professor, Management Science and Engineering
Honors & Awards
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Outstanding paper award, ACM-EC (2009)
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Terasaki medical innovation, National Kidney Registry (2012)
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CAREER award, National Science Foundation (2012)
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JFIG best paper award (2nd prize), INFORMS (2014)
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Franz Edelman Laureate, INFORMS (2014)
Professional Education
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PhD, Technion, Israel (2008)
2020-21 Courses
- Market Design for Engineers
MS&E 230 (Spr) - Mechanism and Market Design
ECON 287, MS&E 365 (Win) - Service Operations and the Design of Marketplaces
MS&E 267 (Win) -
Independent Studies (1)
- Directed Reading and Research
MS&E 408 (Aut, Win, Spr, Sum)
- Directed Reading and Research
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Prior Year Courses
2019-20 Courses
- Incentives and Algorithms
MS&E 230 (Spr) - Introduction to Game Theory
MS&E 232 (Win) - Senior Project
MS&E 108 (Win)
2018-19 Courses
- Introduction to Game Theory and Market Design
MS&E 232 (Win) - Introduction to Operations Management
MS&E 260 (Aut) - Mechanism and Market Design
MS&E 365 (Spr)
2017-18 Courses
- Advanced Topics in Market Design
MS&E 365 (Spr) - Introduction to Operations Management
MS&E 260 (Aut) - Service Operations and the Design of Marketplaces
MS&E 267 (Win)
- Incentives and Algorithms
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Ilai Bistritz, Isabelle Rao, Sukolsak Sakshuwong -
Doctoral Dissertation Advisor (AC)
Maxwell Allman, Jamie Kang, Suleyman Kerimov, Wanyi Li, Faidra Monachou -
Master's Program Advisor
Sophia Fofana, Jonathan Ling