Jörn Boehnke

Jörn Boehnke is an Assistant Professor of Marketing and Business Analytics at the Graduate School of Management, University of California, Davis, and an Associate Research Fellow at the Center for Mathematical Sciences and Applications, Harvard University. His research lies at the intersection of applied microeconomics, quantitative marketing, and data science, with a focus on online platforms, consumer behavior, and public policy.

Research Interests:

• Applied Microeconomics
• Quantitative Marketing
• Empirical Industrial Organization
• Labor Economics
• Online Market Platforms
• Machine Learning and Data Analytics

His research leverages large-scale digital datasets to analyze buyer-seller networks, platform design, and the socioeconomic impacts of public health interventions. He has published in top-tier journals such as Proceedings of the National Academy of Sciences (PNAS), Review of Economic Studies, and Journal of Human Resources.

His recent work explores the transformation of illicit drug markets via fintech platforms, the efficiency of decentralized auction markets, and the macroscopic structure of online marketplaces. These studies consistently employ advanced econometric and machine learning techniques to uncover structural patterns in digital economies.

Scientific Awards:

• Professor of the Year Award, MSBA Program, UC Davis (2023)
• Professor of the Year Award, MSBA Program, UC Davis (2021)
• Outstanding Teaching Assistant Award, Executive MBA Program, Booth School of Business (2016, Europe & Asia)

Boehnke has taught courses in machine learning, data design, web scraping, and economic research methods at UC Davis, Harvard, University of Chicago, and UCLA. He advises students in business analytics and data-driven research. His grants and collaborations include work with the Becker Friedman Institute and NBER. He is actively involved in interdisciplinary research bridging economics, computer science, and public health.

Labs and Research Teams: He is affiliated with the Center for Mathematical Sciences and Applications at Harvard University, where he contributes to data-intensive research projects involving network analysis, market design, and public policy modeling.