Christian Xavier Engman

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 arising in scientific applications. I am currently recruiting for PhD programs in this research area.