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Peter Bossaerts

Peter Bossaerts (University of Melbourne) pioneered the use of controlled experimentation with human subjects in the study of asset pricing. He initially focused on the Capital Asset Pricing Model (CAPM), used throughout the financial industry to evaluate risk/return trade-offs and portfolio performance evaluation; later on he developed the methodology to test the core dynamic model used in finance, macro-economics and central banking to understand the link between asset prices, aggregate income, aggregate consumption, and business cycles (the "Lucas" model).

Bossaerts also pioneered the development of neuroeconomics and decision neuroscience. He focuses on decision making under uncertainty, where "uncertainty" refers to both "risks created by Nature" (over which the decision-maker has no control — even if the decision-maker may think otherwise) and "strategic risks." His contributions have been published in top neuroscience and general science journals (Neuron, Journal of Neuroscience, PLoS Computational Biology, Proceedings of The National Academy of Sciences,…), and he pioneered the publication of decision neuroscience in finance (Journal of Finance).

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Stefan Nagel

Stefan Nagel is the Fama Family Professor of Finance at the University of Chicago, Booth School of Business. He is also a research associate at the National Bureau of Economic Research (Cambridge, MA) and a research fellow at the Centre of Economic Policy Research (London, UK).

Professor Nagel currently serves as the Executive Editor of the Journal of Finance, one of the leading academic finance journals in the world. Previously, he was an editor at the Review of Financial Studies from 2014-2015.

Professor Nagel’s research focuses on asset pricing, investor behavior, and risk-taking of financial intermediaries. His most recent work explores the role of personal experiences in shaping expectations about the macroeconomy and financial market returns, novel approaches for measurement of bank tail risk exposures, and the application of machine learning techniques to understand the risk and return of investment strategies in the stock market.

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Valerie Reyna

Valerie Reyna is Professor of Human Development, Director of the Human Neuroscience Institute, Co-director of the Cornell University Magnetic Resonance Imaging Facility, and Co-director of the Center for Behavioral Economics and Decision Research.  Her research integrates brain and behavioral approaches to understand and improve judgment, decision making, and memory across the life span.  Her recent work has focused on the neuroscience of risky decision making and its implications for health and well-being, especially in adolescents; applications of cognitive models and artificial intelligence to improving understanding of genetics (e.g., in breast cancer); and medical and legal decision making (e.g., about jury awards, medication decisions, and adolescent culpability).  She is a developer of fuzzy-trace theory, a model of the relation between mental representations and decision making that has been widely applied in law, medicine, and public health.

Taking a leave from academia, Dr. Reyna helped create a new research agency in the U.S. Department of Education, where she oversaw grant policies and programs.  Her service has also included leadership positions in organizations dedicated to equal opportunity for minorities and women, and on national executive and advisory boards of centers and grants with similar goals, such as the Arizona Hispanic Center of Excellence, National Center of Excellence in Women’s Health, and Women in Cognitive Science (supported by a National Science Foundation ADVANCE leadership award).

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