Dr. Itai Ashlagi

Professor

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Biography

Itai Ashlagi is a Professor of Management Science and Engineering at Stanford University and a Senior Fellow at the Stanford Institute for Economic Policy Research. His research interests are primarily in game theory and the design and analysis of marketplaces, with a focus on matching mechanisms. His work has significantly impacted the practice of kidney exchange, for which he was recognized as a Franz Edelman Laureate. Ashlagi completed his PhD in Operations Research at the Technion-Israel Institute of Technology. He previously served as an assistant professor of Operations Management at the Sloan School of Management at MIT and as a postdoctoral researcher at Harvard Business School. He has received various awards for his scholarship, including the Outstanding Paper Award at the ACM Conference on Electronic Commerce in 2009 and the NSF CAREER Award. His academic work has been supported by the National Science Foundation and has contributed to significant advancements in the field of market design and analysis.

Research Interests

Experience

Professor

2008-01-01 — Present

Stanford University • Stanford, CA

Conducting research and teaching in Management Science and Engineering.

Awards

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MSOM Service Management SIG Paper Award

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Franz Edelman Laureate

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JFIG Paper Award (2nd Prize)

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CAREER Award

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Outstanding Paper Award

Courses

OIT 666 (Win) MS&E 220 (Aut) ECON 287 MS&E 365 (Win) MS&E 262 (Win) MS&E 408 (Aut, Win, Spr, Sum) CME 291 (Aut, Win, Spr, Sum) MS&E 230 (Win) MS&E 108 (Win) MS&E 262 (Spr) MS&E 260 (Aut) MS&E 230 (Spr)

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.