Gabriel Brown is a computational mathematician and PhD candidate at UT Austin with nine years of experience applying numerical linear and multilinear algebra to scientific problems. He develops and analyzes algorithms for tensors, low-rank methods, and optimization, and has applied these techniques to climate data, graphene modeling, and high-performance computing workflows. An active open-source contributor, he has extended the Fortran Standard Library with linear-algebra routines and improved backend tooling for the beets music manager, signaling fluency in both numerical software and production-quality engineering. Comfortable on supercomputers and in collaborative research labs, he blends rigorous mathematical analysis with practical implementation and testing. Notably, his work bridges theory and application—creating new tensor eigenpair algorithms while shipping robust library interfaces and tests for widely used projects.
9 years of coding experience
5 years of employment as a software developer
International Baccalaureate Diploma, International Baccalaureate Diploma at Clearwater Central Catholic High School
Doctor of Philosophy - PhD, Computational Science, Engineering, and Mathematics, Doctor of Philosophy - PhD, Computational Science, Engineering, and Mathematics at The University of Texas at Austin
University of Illinois Urbana-Champaign
Bachelor of Science, Mechanical Engineering, Bachelor of Science, Mechanical Engineering at University of Notre Dame
Contributions:28 reviews, 49 commits, 3 PRs in 6 months
Contributions summary:Gabriel primarily contributed to the implementation of new functionalities within the Fortran standard library, particularly focusing on linear algebra operations. The user created a function submodule and interface for the outer product of vectors, including associated tests. Further contributions included the addition of new tests for existing library functions such as is_square, is_diagonal, and is_symmetric. This indicates an effort to extend the capabilities of the library and improve its testing coverage.
Contributions:9 reviews, 2 commits, 3 PRs in 1 day
Contributions summary:Gabriel primarily contributed to the `discogs` plugin, enhancing its functionality and improving the user experience. Their work involved implementing item candidates, improving how data is added to tracks, and modifying the plugin's documentation. The user also addressed issues related to singleton track matching and ensuring compatibility with the `python3-discogs-client` library. They also worked on code style improvements.
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