Margaret Trautner

I just finished my PhD at Caltech in the Department of Computing + Mathematical Sciences. I am staying as a postdoctoral researcher for one year and am looking for positions beginning in July 2026 or later. My research broadly concerns operator learning theory and spotlights the application of operator learning to multiscale constitutive modeling. At Caltech, I work in the group of Professor Andrew Stuart. 

I am a recipient of the Department of Energy Computational Science Graduate Fellowship. I received my SB degree from MIT in Mathematics with minors in computer science and mechanical engineering in 2020. 

Recent: 

(05/2025) I successfully defended my Ph.D. thesis on "Operator Learning for Scientific Computing!"

(03/2025) New preprint on the "Theory-to-practice gap for neural networks and neural operators"

(02/2025) New preprint on "Learning Memory and Material-Dependent Constitutive Laws"

(07/2024) Article about my work in DEIXIS, the magazine produced by the DoE CSGF.