I am an assistant professor in the Department of Mathematics at the University of Pittsburgh. My research interests lie in the mathematics of machine learning and data science.

I have been an assistant professor  in the Department of Mathematics, a core faculty member of the Center for Approximation and Mathematical Data Analytics and a research affiliate in the Institute of Data Science at Texas A&M University. 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 an organizer of the one world seminar series on the mathematics of machine learning and an organizer of the inaugural CAMDA Conference at Texas A&M University.

My research is supported by the National Science Foundation under award DMS 2307273 "Neural Networks for Stationary and Evolutionary Variational Problems". 

 See my CV for further information. You can also find a brief biography here.