Dr. Charles Eesley

Professor

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Biography

Chuck Eesley is a Professor of Management Science and Engineering at Stanford University and a W. M. Keck Foundation Faculty Scholar. His research primarily investigates the intersections of artificial intelligence, entrepreneurship, and platform governance, with a specific focus on how AI and machine learning algorithms affect access to opportunities and entrepreneurial performance on digital platforms. Eesley examines how institutional environments in universities shape high-growth, technology-driven entrepreneurship by analyzing educational policies and their impact on economic outcomes for engineering students and alumni. His recent work encompasses diverse methodologies, including text analysis, machine learning, and randomized field experiments, with projects in several countries in Asia, Africa, and other regions. Eesley has received numerous awards for his research, including the Stanford Social Impact Labs Design Fellowship. He serves on various committees and editorial boards related to strategic management and entrepreneurship, and his publications have significantly influenced academic discourse across multiple disciplines.

Research Interests

Experience

Professor

2009-01-01 — Present

Stanford University • Stanford, CA

Professor of Management Science and Engineering, focusing on AI and entrepreneurship.

Awards

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Social Impact Labs Design Fellowship

2024-01-01
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Stanford Teagle Fellow

2022-01-01
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Annual IACMR-RRBM Responsible Research Management Award

2020-01-01
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Institute Advanced Studies Visiting Fellowship

2019-01-01

Courses

MS&E 272 OSPGEN 18 MS&E 379 ENGR 145 ENGR 145S MS&E 408 ENGR 199 MS&E 372 MS&E 108

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.