About Me

I received my PhD in Statistics from the Department of Statistics at The Ohio State University in 2026, where I was advised by Oksana Chkrebtii. I earned my BS in Mathematics at the University of Tennessee, Knoxville in 2020.

My doctoral research focused on Bayesian probabilistic numerical approaches to partial differential equations. In particular, I developed probabilistic finite element methods that use Gaussian process priors to quantify discretization error in PDE solutions, providing principled uncertainty estimates where classical solvers return only point approximations.

As an undergraduate, I worked on mathematical models of cancer cell viscoelasticity in microfluidic channels and on plant–disperser population dynamics under harvesting, the latter published in Ecological Modelling.

My broad research interests include probabilistic numerics, Bayesian inverse problems, uncertainty quantification, and computational statistics.

There are so many amazing things to do and to see. I am glad I exist.

Tommy Atkins, age 5.