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Alexander Todorov studies perception, judgment, and decision making. His lab pioneered data-driven computational methods that model and visualize the perceptual basis of judgments, such as aesthetic appreciation. Building on past work, his current research employs generative AI to model individual human preferences. He investigates how statistical intuitions impact decision making, particularly in uncertain conditions. His research has appeared in prestigious publications including Science, PNAS, and Nature Human Behavior, gaining international media coverage from outlets such as PBS and NPR. He has received several awards, including the SAGE Young Scholar Award and a Guggenheim Fellowship. Todorov authored the book "Face Value: Irresistible Influence of Impressions". Before joining Chicago Booth in 2020, he was a professor of psychology at Princeton University for 18 years, was a visiting professor at Radboud University, and a visiting scholar at the Russell Sage Foundation in New York City. He earned his PhD from New York University in 2002.
University of Chicago Booth School of Business • Chicago, IL
Professor of Behavioral Science, focusing on perception and decision-making research.
Princeton University • Princeton, NJ
Conducted research and taught courses related to psychological science.
The doctoral program at Booth is organized into 'dissertation areas' which include Accounting, Behavioral Science, Econometrics and Statistics, Finance, Marketing, and Operations Management.