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I am the Patricia and George Scharpf Family Assistant Professor in Real Estate in the IT, Analytics, and Operations Department (ITAO) at the Mendoza College of Business of the University of Notre Dame.

Statistical theory powers data science. My research lies in the intersection of statistical learning and data-driven decision making with applications to revenue management, corporate governance, healthcare, and real estate. A significant thrust of my research is on sequential decision-making (bandits, reinforcement learning), network analysis, model selection and post-selection inference. In addition, by constructing interfirm networks, such as dynamic equity investment networks of all 40 million firms in China (EquiNet), I study the network effect on firms' behaviors and decision-making.

I enjoy teaching and have been teaching a statistical learning course across different levels--from high school, undergraduates, graduates and MBAs, to executive education--which has been recognized with teaching awards at both Mendoza and Wharton. Currently, I teach Machine Learning in Urban Analysis in spring semesters at Mendoza.

Previously, I received my PhD in Statistics and Data Science from The Wharton School at the University of Pennsylvania in 2022.