I'm an Assistant Professor of Statistics in the Data Analytics Program at Denison University. My research focuses on sequential analysis and applied probability, with a particular interest in statistical methods for data that evolve over time. Recent work includes applications to changepoint detection, clinical studies, and other time-dependent settings.

At Denison, I teach across the Data Analytics curriculum, from introductory statistics and probability to advanced statistical modeling and senior research. I am especially interested in undergraduate research and in helping students connect statistical ideas with computation and substantive applications.

I received my Ph.D. in Statistics from the University of Connecticut in 2020, where I was advised by Nitis Mukhopadhyay. I received my B.S. in Statistics from Beijing Normal University in 2016.