My current research aims at deriving insights and designing strategies to facilitate decision-making in complex decision environments. In particular, I’m interested in (1) designing theory-based computational artifacts to support economic decisions in complex market mechanisms; (2) integrating machine learning (ML) with statistical/econometric analysis to draw robust inferences; (3) understanding and improving the quality of ML-augmented decision-making.
Before joining Carlson, I was an Assistant Professor in the Department of Operations and Decision Technologies at Kelley School of Business, Indiana University. I received my Ph.D. from the Department of Information and Decision Sciences at Carlson School of Management, University of Minnesota. My advisors are Yuqing Ren and Gediminas Adomavicius. My dissertation studies the user-generated content and associated user engagement behavior on company-managed social media pages. I obtained my bachelor’s degree in Information Systems and Information Management from the School of Economics and Management at Tsinghua University.