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 was an organizer of the one world seminar series on the mathematics of machine learning of the inaugural CAMDA Conference at Texas A&M University. I am currently organizing a Workshop on Mathematical Analysis and Machine Learning at Pitt.

My research is supported by the National Science Foundation under award DMS 2424801 "Neural Networks for Stationary and Evolutionary Variational Problems". 

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