I am an Associate Professor in the Department of Information and Decision Sciences at Carlson School of Management, University of Minnesota.

I study algorithmic decision-making from both a “make” perspective and a “use” perspective. From the make perspective, I design theoretically robust and computationally efficient algorithms to support decision-making in information-intensive environment. From the use perspective, I examine the antecedents of algorithmic decision-making as well as its impact on decision quality, fairness, and privacy. My aspiration is to study real problems and develop practical solutions to support individual and organizational 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.