Jon Cooper is a graduate research assistant and MS candidate in Mathematics at Virginia Tech with dual BS degrees in Mathematics and Computational Modeling & Data Analytics, bringing 11 years of hands-on experience across academia and industry. He blends deep theoretical training in pure and applied math with practical data science skills—Python, MATLAB, R, LaTeX—and a track record of quickly adopting new tools. At MITRE he built a Python package for anomaly detection, and he has contributed front-end improvements to the popular urql GraphQL client ecosystem, demonstrating proficiency in React and responsive design. His teaching and mentoring roles at VT reflect strong communication and presentation strengths alongside technical problem solving. Comfortable both with analytic research and shipping software, he gravitates toward projects that combine rigorous math with practical engineering impact. Based in Centreville, VA, he’s equally at home explaining complex methods to students as implementing them in production-ready code.
11 years of coding experience
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at Virginia Tech
The highly customizable and versatile GraphQL client with which you add on features like normalized caching as you grow.
Role in this project:
Front-end Developer
Contributions:6 commits in 3 days
Contributions summary:Jon primarily focused on front-end development within the Spectacle library. Their contributions include adding styling, responsive design improvements, and copy functionality to the presentation components. They also worked on implementing the initial layout and styling for the documentation section. The user demonstrated proficiency in React and styled-components.
Contributions:14 commits, 21 pushes, 1 branch in 4 years 5 months
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