Welcome to my homepage!

I am a Postdoctoral Associate at Yale University, working with Prof. Jeffrey Gruen and co-mentored by Prof. Heping Zhang. Before joining Yale, I earned my Ph.D. in Management Science/Statistics from the University of Miami, supervised by Prof. Lan Wang. I also hold a Master’s degree in Statistics from the University of California, San Diego, and a Bachelor’s degree in Applied Mathematics from the University of Science and Technology of China.

At Yale, I have built collaborations with researchers at the Yale Child Study Center and across pediatrics, public health, psychology, and education. These collaborations have shaped a new research direction centered on data-driven decision making in child health and education, with particular interests in adaptive monitoring, early identification, and intervention using large-scale longitudinal data. This emerging research agenda has recently been recognized with support from the Lambert Family Fellowship at Yale.

Alongside this work, I study data-driven inventory decisions under privacy constraints, censored demand, and temporal dependence. 

I am currently on the 2026–2027 academic job market. Broadly, my research lies at the intersection of statistical learning and sequential decision making, with applications in health, education, and operations. I am particularly interested in methodological problems that arise when data are longitudinal, incomplete, or privacy-sensitive, and in translating statistical learning into effective decisions in real-world systems.