Jamie Mahowald

Hi! I'm an incoming PhD student at Stanford ICME and a post-bachelor researcher at Los Alamos National Laboratory. I graduated as a mathematics student in the Plan II honors program at the University of Texas at Austin. Before that, I worked at ARL:UT, the Oden Institute, and the Library of Congress's John W. Kluge Center. You can reach me at mahowald [dot] jamie [at] gmail [dot] com.

I'm interested in creating intelligent systems that can reason about the physical world. I look at representations of physical data to models, hard guarantees on nonlinear networks, and equivalencies and redundancies in optimization. I also create AI systems for cultural institutions.

Outside research, I like reading history, exploring northern New Mexico, and singing.

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Projects

paper image Efficient Analysis of the Distilled Neural Tangent Kernel
Jamie Mahowald, Brian Bell, Alex Ho, Michael Geyer
arXiv, 2026
paper image Retrieval-Augmented Search for Large-Scale Map Collections with ColPali
Jamie Mahowald, Benjamin Lee
ACM SIGIR Conference on Human Information Interaction and Retrieval, 2025
MapRAS
paper image Toward Dataset Distillation for Regression Problems
Jamie Mahowald, Ravi Srinivasan, Atlas Wang
Efficient Systems for Foundation Models, ICML workshop, 2025
Senior thesis
paper image Generalization Limits of In-Context Operator Networks for Differential Equations
Jamie Mahowald, Tan Bui
In review, 2024
paper image Integrating visual and textual inputs for searching large-scale map collections with CLIP
Jamie Mahowald, Benjamin Lee
Computational Humanities Research (🎖️ Best Long Paper), 2024