Jeffrey Xu is an undergraduate researcher and full-stack developer merging rigorous physics training with hands-on software engineering across biochemistry, neuroscience, and public health applications. Currently at Princeton, he contributes to research on Dense Associative Memory and diamond NV-center sensing while interning in applied ML policy and causal inference at Coinbase, demonstrating fluency across theory and applied systems. With nine years of technical experience and open-source contributions to the UIW React component library (adding tests and improving overlays), he brings practical front-end craftsmanship alongside backend and AI-agent programming skills. Notably, his background spans quantitative finance internships and elite academic programs, giving him a rare blend of experimental physics intuition, ML policy experience, and production-grade coding.
9 years of coding experience
2 years of employment as a software developer
High School Diploma General Studies, High School Diploma General Studies at Livingston High School
Science Honors Program, Science Honors Program at Columbia University
A.B. Physics, A.B. Physics at Princeton University
⚛️ @uiwjs A high quality UI Toolkit, A Component Library for React 16+.
Role in this project:
Front-end Developer
Contributions:15 commits in 2 months
Contributions summary:Jeffrey primarily contributed to the UIW React component library by adding and updating test cases. Their work involved creating tests for the Tag, Radio, and RadioGroup components, ensuring they function correctly. They also merged a branch and modified the Overlay component, demonstrating an understanding of component testing and library maintenance within the React ecosystem.
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