Bradford (Lynch) Levy is interested in the consequences of economic frictions (e.g., bounded rationality or informational) across various settings and their effects. His research combines analytical economic models with various empirical tools, such as econometric and machine learning methods. Levy has been quoted and cited by business publications such as the Financial Times, Bloomberg, Wall Street Journal, and Grant’s Interest Rate Observer (March 2021), as well as several centers for thought leadership such as the National Bureau of Economic Research, Harvard Law School, Cooley PubCo, and Law360. Levy spent nearly a decade in tech and automotive leading analytics, software development, and design teams. During this time, he was granted patents in artificial intelligence and safety technologies.
Prior to joining Booth, Levy was a researcher at The Wharton School of the University of Pennsylvania.
Levy received an MA in statistics and a PhD from the University of Pennsylvania, The Wharton School. Additionally, he earned an MBA from the University of Michigan and a BS in mechanical engineering from Worcester Polytechnic Institute.