About Me
I am a fifth-year Ph.D. candidate in the Department of Statistics at the University of Washington, advised by Prof. Alex Luedtke. My research lies at the intersection of causal inference, optimal transport, nonparametric statistics, and machine learning. At UW, I am fortunate to work with Profs. Zaid Harchaoui and Soumik Pal.
I also collaborate with the Abrahms Lab and the eScience Institute on developing AI tools for ecology.
I completed my undergraduate degree in Mathematics at the Indian Institute of Technology Kanpur, with a minor in English literature. At IIT Kanpur, I worked with Dootika Vats on output analysis and convergence diagnostics for Markov chain Monte Carlo and importance sampling.
Contact me at medhaaga [at] uw [dot] edu.
News
Selected Publications
Medha Agarwal, Alex Luedtke
International Conference on Machine Learning (2026)
Medha Agarwal, Kasim Rafiq, Ronak Mehta, Briana Abrahms, Zaid Harchaoui
Methods in Ecology and Evolution (2025)
