Cade Massey

Cade Massey is a Practice Professor in the Wharton School’s Operations, Information and Decisions Department at the University of Pennsylvania. His research focuses on judgment under uncertainty, examining how people predict future events using experimental and real-world data. Massey has collaborated with organizations such as Google, Merck, and professional sports teams. He has taught MBA and Executive MBA courses for 15 years and co-teaches Wharton’s 'People Analytics' MOOC on Coursera. Massey is also faculty co-director of Wharton People Analytics and co-host of 'Wharton Moneyball' on SiriusXM Business Radio.

Cade Massey is a researcher at the University of Pennsylvania focusing on decision-making, uncertainty, optimism, and overconfidence. His work explores how individuals make decisions under uncertainty, the role of optimism in economic behavior, and the impact of overconfidence on market efficiency. Massey's research includes studies on algorithm aversion, the effects of diversity training, and the psychological factors influencing economic crises. His publications often highlight the interplay between cognitive biases and decision-making processes, particularly in contexts such as the National Football League draft and savings behavior. His research contributes to understanding how people perceive and respond to uncertainty and how these perceptions affect economic and social outcomes.