Michal Kosinski is an Associate Professor of Organizational Behavior at Stanford’s Graduate School of Business. He specializes in computational social science, artificial intelligence, and psychometrics. He earned a Ph.D. in psychology from the University of Cambridge, where he pioneered methods for inferring personal attributes and traits from digital footprints.

He has published over 80 peer-reviewed papers in leading scientific journals (e.g., Nature Computational Science, PNAS, JPSP, American Psychologist), as well as a popular textbook, Modern Psychometrics, and several chapters, including in the seminal Handbook of Social Psychology. His work has been cited over 25,000 times (h-index: 63), placing him among the Top 1% of Highly Cited Researchers. He has received numerous accolades, including the ARP's Early Career Award, SPSP's Distinguished Fellowship, EAPP's Early Achievement Award, and APS's Rising Star Award. His research has inspired a cover of The Economist, a 2014 theatre production titled Privacy, several TED talks, and even a video game. It has been featured in thousands of press articles, books, podcasts, and documentaries.

Beyond academia, he advises government agencies and leading companies on the ethical and practical implications of AI. He has testified before institutions such as the FTC, the U.S. Equal Employment Opportunity Commission, the European Parliament, and the Department of Justice. His work has informed privacy regulations and contributed to the record $5 billion fine levied on Facebook. He was also behind the first press article warning against Cambridge Analytica. His research exposed the privacy risks they exploited and assessed the effectiveness of their methods, as documented in Steven Levy's book Facebook: The Inside Story.