Medha Agarwal

Medha Agarwal

Ph.D. Student in Statistics

University of Washington

About

I am a third-year Ph.D. student in the Department of Statistics at University of Washington advised by Zaid Harchaoui. My research interests involve flow-based generative models, optimal transport, gradient flows, and deep learning in general. I am interested in building models for efficient estimation of optimal transport and studying their applications in statistical inference and machine learning, with a sharp focus on generative modeling and attention mechanism. 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