Zhen Lian

Zhen Lian is an Assistant Professor of Operations Management at the Yale School of Management. Her research focuses on Game Theory, Matching Markets, Operations, Platform Design, Policy Modeling, and Service Operations. She has worked on projects involving online marketplaces such as ridesharing and has applied optimization techniques to public policy making. Prior to joining Yale, she was a postdoctoral fellow at Lyft, where she worked on driver pay and incentive design. She has also contributed to school schedule changes in the San Francisco Unified School District, resulting in annual savings of over $5 million.

Zhen Lian is an Assistant Professor at Yale University, specializing in the intersection of platforms, public policy, and transportation. Their research explores the economic and operational dynamics of marketplaces, particularly focusing on algorithmic decision-making, labor markets, and the impact of technology on transportation systems. Key areas include the gig economy, autonomous vehicles, and market design. Lian's work examines how platforms influence labor cost dynamics, consumer behavior, and market efficiency, with a particular emphasis on transparency, control, and pay structures. Their publications highlight the role of market configuration in capturing the benefits of emerging technologies like autonomous vehicles and the broader implications for public policy.