Rubing Li

I am an assistant professor in Department of Information, Risk, and Operations Management (IROM) at the McCombs School of Business, University of Texas Austin. I received my PhD from NYU Stern. My research sits at the intersection of economics, statistics, and machine learning, with a focus on market design and AI and automation in multisided marketplaces. I study how platform design shapes participant incentives and market outcomes, and specialize in evaluating the economic impact of policies and design choices using RCTs, quasi-experimental methods, and structural models. A parallel stream examines the economic behavior of AI agents, and how to deploy and optimize them in business contexts through economic principles.

When I’m not doing research, I am an avid reader of fiction and enjoy exploring various outdoor sports, including snowboarding, mountain climbing, and occasionally marathon running.