Biography
Daniel Walters comes to the Freeman School from INSEAD, where he served as an Assistant Professor of Marketing. As a scholar, he is interested in improving consumer and investor judgment and decision-making, with a focus on understanding how people interpret missing or unknown information and how overconfidence and memory biases influence behavior. He also examines the role of generative AI decision aids in shaping confidence, calibration and choice quality. His research explores the effects of these factors on product evaluations and investor behavior. He applies a range of methods, including incentive-compatible lab experiments, field studies, theoretical modeling and large-scale data analysis. His research has appeared in the Journal of Consumer Research, Journal of Marketing Research, Management Science, Proceedings of the National Academy of Sciences and Psychological Review. Walters holds a PhD and MBA from UCLA's Anderson School of Management and a BS from New York University's Stern School of Business.
