About me

I am currently a Nicholas C. Metropolis Fellow working in the Theoretical Division at Los Alamos National Laboratory. My research is broadly focused on tensor networks, and includes algorithms for high-dimensional linear and nonlinear systems and the design of performance portable software for these methods. This research is generously supported through funding provided by the Advanced Simulation and Computing (ASC) Program.

Previously, I was a Postdoctoral Research Fellow working in the Department of Mathematical Sciences at the University of Delaware. I worked with Prof. Jing-Mei Qiu on low-rank tensor decompositions and their application to high-dimensional kinetic models of plasma.

Before joining the University of Delaware, I was a Peter O’Donnell Jr. Postdoctoral Fellow at the University of Texas at Austin, where I worked on algorithms for radiation transport applications. My research was supervised by Robert Moser and George Biros in the Center for Predictive Engineering and Computational Science (PECOS) at the Oden Institute for Computational Engineering and Sciences.

I completed my PhD in Computational Mathematics, Science, and Engineering at Michigan State University in 2022 under the supervision of Prof. Andrew J. Christlieb. My work contributed new high-order methods to simulate Maxwell’s equations, and I integrated these tools with particle methods to simulate plasma phenomena.

My general research interests are computational mathematics and scientific computing. My work combines tools from approximation theory and numerical analysis to develop algorithms that address the challenges of kinetic models, such as high dimensionality, multi-scale effects, and the preservation of critical mathematical structures at the discrete level. These problems require enormous computational demands, which my work addresses in a complementary manner through a combination of mathematics with tools to access the latest advances in computing hardware.