I am an assistant professor in the Department of Mathematics at Texas A&M University and a research affiliate in the Texas A&M Institute of Data Science. My research interests lie in applied analysis, in particular machine learning, partial differential equations and the calculus of variations.
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.
See my CV for further information.