Perception and Judgment Lab

Members

 

 

Alexander Todorov, who directs the Perception and Judgment Lab, is Leon Carroll Marshall Professor of Behavioral Science and Rosett Faculty Fellow at the University of Chicago Booth School of Business. Before joining Booth, he was a professor of psychology at Princeton University from 2002 until 2020. He completed his BA at Sofia University “St Kliment Ohridski” in Bulgaria (1994), was a visiting researcher at the University of Oxford (1996), completed a research MA at the New School for Social Research (1998) and a PhD at New York University (2002). CV.

 

 

Stefan Uddenberg is a Principal Researcher (i.e., postdoc) at Chicago Booth working with the lab. His research explores our default assumptions about faces and other things we see in our everyday lives. He completed his PhD at Yale University (working with Brian Scholl) and his BA at Dartmouth College.

 

 

Daniel Albohn is a Principal Researcher (postdoc) working in the lab. Dan’s research examines how social cues inform both emotion perception and impression formation, with a particular focus on how individuals extract information from a neutral or minimally expressive face. Dan received his PhD at Penn State working with Reginald Adams.

 

 

 

Joel Martinez is a graduate student in the Department of Psychology and School of Public and International Affairs at Princeton University. Their research explores: 1) collective and idiosyncratic understandings of contemporary topics within race, sexuality, and migration discourse and 2) the relationship between analytic practices, philosophical commitments, and theory-building in psychology. They received their BS from The University of Texas at Austin.

 

 

 

Xuechunzi Bai is a graduate student at the Department of Psychology, the School of Public and International Affairs, and the Center for Statistics and Machine Learning at Princeton University. Her research examines the origin and the evolution of social stereotypes. She completed her BA at the University of Tokyo in Japan.

 

 

 

Diag Davenport is a graduate student at Chicago Booth. His research explores how human biases are learned and propagated by artificial intelligence. He received his BA in Economics from Penn State and his MS in Mathematics and Statistics at Georgetown.

 

Professor at West Virginia University

Lead Data Scientist at Anchormen, the Netherlands

Professor at Hebrew University, Israel

Professor at the University of Bologna, Italy

Post-doc at New York University

Designer

Eagleton Science Fellow in NJ Department of Children and Families

Lecturer in Statistical Methods at Princeton University

Professor at New York University Shanghai

Professor at the University of Delaware

Professor at New York University

Professor at Oberlin College

Data Scientist at Stitch Fix

Professor at Carnegie Mellon University

Director of Franchise Strategy & Insights at 343 Industries

Professor at Kenyon College

Professor at the University of Washington

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