Dr. Misha Teplitskiy

Assistant Professor

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Biography

Misha Teplitskiy is an Assistant Professor at the University of Michigan's School of Information, where he leads the DiscoveryLab. His research interests lie at the intersection of sociological analysis and technological innovation, particularly focusing on how policy and technology can accelerate scientific discovery. Teplitskiy's current work explores effective methods for evaluating and selecting innovative ideas, along with the diffusion of knowledge among scientists and the public, utilizing in-person and online platforms. His investigative efforts address factors influencing the supply of scientists and graduate admissions, with a special focus on Artificial Intelligence in higher education. Methodologically, he specializes in computational and quantitative methods, natural language processing, field experiments, and causal inference techniques. Before his appointment at Michigan, Teplitskiy was a postdoctoral fellow at Harvard Business School, contributing to the Laboratory for Innovation Science under Karim Lakhani. He received his Ph.D. in Sociology from the University of Chicago, where he was part of KnowledgeLab and was advised by James Evans.

Research Interests

Experience

Assistant Professor

— Present

University of Michigan School of Information • Ann Arbor, MI

Engaged in research and teaching in the areas of computational social science and innovation.

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science