About me

I’m an assistant professor at Wharton’s Department of Statistics and Data Science. My research centers on several interconnected themes, spanning statistical theory, methodology, and applications. I work on modern genomics applications, which inspire me to consider methodological and theoretical problems in high-dimensional variable selection, conditional independence testing, double/debiased machine learning, multiple testing, and selective inference.

I teach STAT 4710 (Modern Data Mining) and STAT 9610 (Statistical Methodology) at UPenn.

In addition to teaching and research, I’m passionate about providing resources and guidance for statistics students.