CV

Jamie Mahowald

Education

The University of Texas at Austin | Aug. 2021 - May 2025

Bachelor of Science, Mathematics
Bachelor of Arts, Plan II Honors
Minors: Government, Latin
GPA: 3.98/4

The University of Texas System | Jan - Apr 2024

Archer Fellowship Program in Washington, D.C.

Experience

Los Alamos National Laboratory

Post-bachelor student | Los Alamos, NM | Jun 2025 - present

Conducting research on kernel methods and optimization theory for use in data compression.

Applied Research Laboratories (ARL:UT)

Student technician | Austin, TX | Aug 2024 - May 2025

Conducted research on distillation of scientific datasets for use in regression problems.
Analyzed and presented national security implications of scientific machine learning under the Joint Studies Program with the Strauss Center for International Security and Law.
Authored a thesis for the Plan II Honors program under Atlas Wang, Ravi Srinivasan, and Richard Tsai.

Oden Institute for Computational Engineering & Sciences

Intern | Austin, TX | Jun - Aug 2024

Conducted research on in-context operator learning with the PHO-ICES group under Tan Bui-Thanh
Developed numerical data-generation schemes for high-order partial differential equations; determined out-of-distribution capabilities for a recent class of differential operator learners.
Trained a full-parameter model over several weeks using the Frontera cluster at the Texas Advanced Computing Center (TACC). Used MPI and OpenMP parallel workflows to leverage high-performance computing.
Developed a graphical user interface for solving differential equations using a pre-trained model.
Delivered a talk, “Contextual Operator Networks as Differential Equation Solvers,” to students and faculty at the Texas Undergraduate Mathematics Conference, November 2024.

Library of Congress, John W. Kluge Center

Research Intern | Washington, D.C. | Jan - Apr 2024

Developed a search engine capable of zero-shot classification and feature search for the LOC's 560,000-item Geography & Map collection using OpenAI's CLIP (Contrastive Language–Image Pre-training) transformer with Benjamin Lee.
Published a 10,000-item labeled dataset, fine-tuned model, and embedding library to the public domain.
Delivered a lecture, “Machine Learning for Map Retrieval,” to the Computational Humanities Research conference and Critical Datasets Reading Group at the Library of Congress.
Staffed and attended Kluge Center events with scholars, congressional staffers, and Members of Congress.

Comparative Constitutions Project

Research assistant | Remote | May - Aug 2023

Operated a PaLM 2-based database that compared national constitutions to inform constitutional design.
Generated four new topics and evaluated their language and effectiveness in relevant constitutions.

Leadership and Engagement

The Archer Fellowship Program

Archer Fellow | Washington, D.C. | Jan - Apr 2024

Semester-long fellowship for UT-System students in Washington, D.C.

Texas Undergraduate Law Journal

Managing editor | Austin, TX | Sep 2024 - Apr 2024

Worked with editor-in-chief to ensure completion of stories and help choose new members.
Wrote analytical blog posts on technology policy, business, and intellectual property.
Developed an automated deadline management and notification system.

Publications

J. Mahowald, R. Srinivasan, and Z. Wang, “Toward Dataset Distillation for Regression Problems,” Efficient Systems for Foundation Models workshop at ICML.

J. Mahowald and T. Bui-Thanh, “Generalization Limits of In-Context Operator Networks for Higher-Order Partial Differential Equations,” in review.

J. Mahowald and B. C. G. Lee, “Integrating Visual and Textual Inputs for Searching Large-Scale Map Collections with CLIP,” Computational Humanities Research, vol. 5, 2024, doi: https://doi.org/10.48550/arXiv.2410.01190. (Best Long Paper award)

Additional

Skills:

Machine learning (deep learning, data structures, optimization); Python (PyTorch, TensorFlow, NumPy, Pandas, Seaborn, SciPy, JAX), Mathematica, R, MATLAB, Excel; LaTeX, Overleaf; Adobe InDesign, Photoshop

Honors:

Plan II Travel Grant (International Conference on Machine Learning, July 2024), Kuhn Scholarship in Plan II Honors (June 2024), Chris R. Bjornson Scholarship (January 2024), Plan II Continuing Scholarship (August 2022).

Work Eligibility:

Eligible to work in the U.S. with no restrictions.