I am an assistant professor in the Department of Information, Risk, and Operations Management (IROM) at the McCombs School of Business, University of Texas at Austin. Prior to UT, I received my PhD from NYU Stern.
My research sits at the intersection of economics, statistics, and machine learning, with a focus on how market design, automation, and AI shape economic outcomes. Some of the questions I am currently interested in are:
- What happens when an automation technology enters an existing multi-sided marketplace? How does it reshape the behavior and outcomes of workers, firms, consumers, and platforms?
- How should value be attributed when output is jointly produced by humans, AI algorithms, and platforms?
- How should platforms design pricing, compensation, and other market mechanisms to improve efficiency and welfare?
Methodologically, I combine analytical modeling, causal inference, experiments, and structural industrial organization (IO) models, often leveraging large-scale individual-level data to study these questions.
I am interested in collaborating with PhD students who have a strong background in economics or strong empirical, data science, and machine learning skills. I am also hiring research assistants. If you are interested in working with me, please feel free to reach out by email.