Matt Jordan

Graduate Research Assistant

Boston, Massachusetts, United States
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Summary

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Rockstar
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Top School
Matt Jordan is a PhD candidate in Machine Learning at The University of Texas at Austin with a decade of software engineering and research experience bridging academia and industry. He previously engineered production systems at MaestroIQ and contributed to research projects at MIT CSAIL before joining AI2 as a research scientist collaborator on GitHub. Comfortable moving between rigorous theoretical work and pragmatic implementation, he focuses on making ML research reproducible and deployable. Based in Boston, he blends strong foundations in mathematics and computer science from MIT with hands-on development skills honed over years of engineering roles. Notably, his profile reflects both long-term research commitments and practical product engineering—an uncommon combination that helps translate prototype ideas into robust systems.
code10 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at The University of Texas at Austin
bookMathematics and Computer Science, Mathematics and Computer Science at Massachusetts Institute of Technology
languagesEnglish
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Github Skills (43)

training-data10
geometric10
data-processing10
adversarial-attacks9
pytorch9
llm9
large-language-models9
inference9
language-model9
natural-language-processing9
nlp9
relu8
looker8
mixed-integer-programming7
minhash7

Programming languages (7)

C#RustJavaScriptHTMLJupyter NotebookLookMLPython

Github contributions (5)

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allenai/datamap-rs

Feb 2025 - Mar 2026

Data mapping framework for rust stuff
Contributions:1 review, 2 PRs, 238 pushes in 1 year
rust
revbucket/minhash-rs

May 2024 - Nov 2025

Minhashing done in rust
Contributions:2 reviews, 156 pushes, 14 branches in 1 year 5 months
rust
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