Medha Agarwal

Medha Agarwal

Ph.D. Student in Statistics

University of Washington

About

I am a first-year Ph.D. student in the Department of Statistics at University of Washington. I did my undergraduate in Mathematics from Indian Institute of Technology Kanpur with a minor in English literature. At IITK, I was advised by Prof. Dootika Vats from the Department of Mathematic and Statistics.

I have explored different topics in statistics through my undergraduate research spanning sampling methods and numerical optimization. I worked with Prof. Vats on autocovariance estimation from parallel Markov chain Monte Carlo implementations. In collaboration with Prof. Vats and Prof. Victor Elvira, I developed stopping rules using effective sample size in importance sampling. A recent work in collaboration with Prof. Jason Xu targeted acceleration of MM algorithms using quasi-Newton method.

Apart from research in statistics, I enjoy dancing and reading fiction. I spend my free time exploring the great coffee of Seattle.

Education
  • PhD in Statistics, 2021 - 2026

    University of Washington

  • BS in Mathematics and Scientific Computing, 2017 - 2021

    Indian Institute of Technology Kanpur, India