Dr. Beibei Li

Associate Professor

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Biography

Beibei Li holds the Anna Loomis McCandless Chair at the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. She also has a joint appointment at the Tepper School of Business and a courtesy appointment at the School of Computer Science within the Human-Computer Interaction Institute. Beibei received her Ph.D. with distinction from the Leonard N. Stern School of Business at New York University. Her research interests focus on the intersection of social and technical aspects of technology, particularly how human interactions with recent technological disruptions can inform decision-making processes. She specializes in studying digital footprints and the interplay between individual behavior in digital and physical environments. Through interdisciplinary methods incorporating econometrics, structural modeling, Bayesian modeling, and machine learning, Beibei aims to design effective strategies that empower policymakers to enhance technological designs for better economic welfare. Beibei has published extensively in premier journals and conferences, receiving multiple prestigious awards, including the INFORMS ISS Sandy Slaughter Early Career Award in 2019. She has garnered significant research funding and recognition for her contributions to the field.

Research Interests

Experience

Associate Professor

2023-07-01 — Present

Carnegie Mellon University • Pittsburgh, United States

Teaching and conducting research at the Heinz College of Information Systems and Public Policy.

Assistant Professor

2019-07-01 — 2023-06-30

Carnegie Mellon University • Pittsburgh, United States

Focused on teaching and research in the areas of management and technology.

Faculty

2012-01-01 — 2019-01-01

Carnegie Mellon University • Pittsburgh, United States

Engagement in teaching and research within the college.

Summer Intern

2008-01-01 — Present

Microsoft Research • Redmond, WA

Internship focusing on research projects.

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.