Michal Kosinski

Michal Kosinski is an Associate Professor of Organizational Behavior at Stanford Graduate School of Business. He holds a PhD in Psychology from the University of Cambridge and specializes in computational social science, artificial intelligence, and psychometrics. His research focuses on leveraging AI, machine learning, and big data to model human behavior, personality, and decision-making processes.

Education: PhD in Psychology (University of Cambridge, 2014), MPhil in Psychology (University of Cambridge, 2009), MSc in Social Psychology (Warsaw School of Social Sciences, 2008).

Research Interests:

• Psychological processes in AI (e.g., Large Language Models)
• Big Data analysis for predicting human traits
• Facial recognition technology and privacy implications
• Psychological assessment via digital footprints
• Ethical impacts of AI in society

Awards: Recognized with prestigious honors such as the ARP Early Career Award (2025), SPSP Distinguished Fellowship (2024), and EAPP Early Achievement Award (2023). His work has been cited over 25,000 times and influenced privacy regulations globally.

Public Engagement: Advises governments and companies on AI ethics, testified before the FTC and EU Parliament, and contributed to landmark investigations like the Cambridge Analytica scandal. Authored Modern Psychometrics and numerous chapters in leading handbooks.

Labs/Initiatives: Faculty Affiliate at Stanford’s Golub Capital Social Impact Lab and Editor-in-Chief for Frontiers in Computational Social Psychology.