Dr. Melissa Valentine

Associate Professor

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Biography

Melissa Valentine is a tenured Associate Professor in the Department of Management Science and Engineering at Stanford University and a Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Her research focuses on emerging technologies and artificial intelligence algorithms, particularly in transforming work and organizations. She has conducted studies on topics such as flash teams, AI-powered organizations, and algorithmic management, developing new algorithmic capabilities for organizations. As an inaugural Sabbatical Scholar at Stanford HAI, Professor Valentine advanced interdisciplinary research at the intersection of AI and organizational design. Her scholarship has garnered numerous accolades, including the NSF CAREER Award and multiple paper awards at leading management and HCI conferences. Her work has been published in premier journals such as Organization Science and Management Science and featured in major outlets like The New York Times and Harvard Business Review. Professor Valentine has degrees from Stanford University, New York University, and Harvard University, and she is a sought-after collaborator and mentor in her field.

Research Interests

Experience

Associate Professor

— Present

Stanford University • Stanford, CA

Tenured Associate Professor in Department of Management Science and Engineering and Senior Fellow at Stanford Institute for Human-Centered AI.

Awards

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CAREER Award

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Paper Award

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Graduate Teaching Award

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Hellman Faculty Scholar

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.