About me

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

My research develops statistically rigorous, computationally efficient methods for calibration, power, and robustness in modern hypothesis testing, with particular emphasis on perturbation-based 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.