I am an assistant professor of Business Technologies at Carnegie Mellon University, Tepper School of Business.

My passion lies in advancing new technologies and understanding their impacts on businesses and markets. I study the design of digital marketplaces—including crowdsourcing and e-commerce platforms—to generate actionable insights that improve operational efficiency and market outcomes. I also investigate human–AI collaboration, focusing on when and how AI assistance improves human decision-making, how individuals learn from interacting with AI systems, and how AI adoption influences market dynamics.

My work combines data-driven empirical analysis with theory-informed modeling to understand individual behavior and strategic interactions in technology-enabled environments. Methodologically, I employ structural empirical models, causal inference approaches, game-theoretic models, and machine learning techniques.

My work has been published in leading journals such as Management Science, Operations Research, and Manufacturing & Service Operations Management, and has received several recognitions, including the INFORMS TIMES Best Dissertation Award and finalist in multiple INFORMS and POMS competitions. I currently serve on the Editorial Review Board of Information Systems Research.

I received my Ph.D. from the Ross School of Business, University of Michigan. I received my B.A. in Economics and B.S. in Statistics from Peking University.