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Leland Bybee studies machine learning and natural language processing to address key questions in economics and finance. His current focus is on developing measures of beliefs with applications to asset pricing and behavioral economics.

Before pursuing a PhD at Yale School of Management in financial economics, he was a researcher at Booth.  Additionally, he received a master’s degree in statistics from the University of Michigan, and an undergraduate degree in economics at the University of Chicago.

Academic Areas

  • Finance

2024 - 2025 Course Schedule

Number Course Title Quarter
35137 Machine Learning in Finance 2025 (Spring)