Medha Agarwal

Medha Agarwal

Ph.D. Student in Statistics

University of Washington

About

I am a fourth-year Ph.D. student in the Department of Statistics at University of Washington advised by Zaid Harchaoui. My research interests involve generative modeling, optimal transport, gradient flows, and deep learning in general. I am interested in application of optimal transport and gradient flows in statistical inference and explainable artificial intelligence. At UW, I am fortunate to be working with Soumik Pal on optimal transport.

I did my undergraduate in Mathematics from Indian Institute of Technology Kanpur with a minor in English literature. At IITK, I worked on developing methods for output analysis and convergence diagnostics of Markov chain Monte Carlo and importance sampling with Dootika Vats.

Education
  • PhD in Statistics, 2021 - 2026

    University of Washington

  • BS in Mathematics and Scientific Computing, 2017 - 2021

    Indian Institute of Technology Kanpur, India