I am a 5th-year PhD student in Statistics at Carnegie Mellon University, where I am advised by Zach Branson and Edward Kennedy. Additionally, I have had the pleasure of working with Siva Balakrishnan and Larry Wasserman. My primary research interests are at the intersection of statistics, machine learning, and causal inference. Some topics I have worked on include

During my PhD, I have gained experience as a teaching assistant for several courses related to causal inference and other areas of statistics. I also instructed CMU’s Sophomore-level Introduction to Statistical Inference course.

I completed my undergraduate education at Swarthmore College, where I earned a Bachelor’s degree in Mathematics and Economics in 2016. Before starting my PhD, I worked for three years as a Research Analyst and later as a Senior Research Analyst at the Brattle Group. There, I helped analyze data and build statistical models for legal, regulatory, and policy issues.



Google Scholar and CV (current as of September 2023)


My poster on double cross-fit doubly robust estimators won the Ten Have award at ACIC 2023. I plan to upload the paper to Arxiv very soon!


As Course Instructor

As Teaching Assistant