About me

I’m a PhD student at the Department of Statistics and Data Science, Wharton School.

My research develops scalable hypothesis testing methods with provable calibration, power, and robustness, motivated by large-scale perturbation genomics.

In addition to research, I’m passionate about teaching and mentoring since I am deeply grateful for and benefit from the supervisors I have met, who have taught me far beyond just statistics. I have been a mentor for Undergraduate Research in Probability and Statistics and Directed Reading Program at UPenn.