I am an assistant professor in the Department of Mathematics at Texas A&M University, a core faculty member of the Center for Approximation and Mathematical Data Analytics and a research affiliate in the Texas A&M Institute of Data Science. My research interests lie in the mathematics of machine learning and data science.

Previously, I was a postdoc in the Program in Applied and Computational Mathematics at Princeton University, where I worked with Weinan E on the mathematics of artificial neural networks, and a postdoc in the Center for Nonlinear Analysis at Carnegie Mellon University, advised by Irene Fonseca and Giovanni Leoni. I obtained my PhD from Durham University under the supervision of Patrick Dondl and my master's degree at the University of Heidelberg where I wrote my dissertation with Claus Gerhardt.

I am also an organizer of the one world seminar series on the mathematics of machine learning and an organizer of the inaugural CAMDA Conference to be held May 22 - 25, 2023 at Texas A&M.

See my CV for further information.