Christian Xavier Engman

I am attending the University of Michigan as a PhD Student in Computer Science and Engineering to research the applications of AI to engineering and the physical sciences under JJ Park. I hope to collaborate with researchers involved with the Michigan Institute for Computational Discovery and Engineering and with LANL scientists involved in the Michigan-LANL SPARC initiative.

I received my BS in Mathematics and my BS in Computer Science from Georgia Tech. While there, I worked with Florian Schäfer and Qi Tang in the School of Computational Science and Engineering. Additionally, I completed internships at Amazon, Meta, and Los Alamos National Laboratory, was a TA in the School of Math, and was the president of the Big O Computer Science Theory Club and an officer in Club Math.

My research interests lie at the intersection of computation physics, numerical methods, machine learning, and high-performance computing. My past and current research topics include sparse linear algebra, finite element methods, inverse problems, reduced-order models, and machine learning for scientific applications. In the future, I hope to combine classical numerical methods and modern statistical and deep learning techinques to develop rigorous and efficient solvers for PDEs and other modelling problems arising in scientific applications.