Jeremy Zay

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Jeremy Zay

Software engineer and machine learning researcher. I build whole products, from the model to the interface.

Résumé (opens in a new tab) GitHub (opens in a new tab) LinkedIn (opens in a new tab) Contact

I graduated from Wesleyan in 2026 with majors in computer science, mathematics and integrative sciences. I like owning a thing end to end: the research, the backend, the interface, the tests, and the release.

Everything linked from this site I designed and built myself: two apps on the App Store, an AlphaZero-style chess engine, generative models that design drug candidates, and the site itself, an impossible-geometry scene written in WebGL with its own shaders, served by a Flask app with its own editor behind it.

  1. Sonar iOS app Ratings and reviews for podcasts. Designed, built and shipped to the App Store.
  2. Zaychess macOS app A chess app on the Mac App Store with local, LAN and engine play: game state, move validation, networking and interface, all mine.
  3. ZayBot Engine An AlphaZero-style chess engine: self-play, a policy–value network and tree search.
  4. Curve Explorer Chatham Financial Owned a feature in ONYX Pro end to end: React, TypeScript, C#/.NET APIs, 90% test coverage. Cut more than ten manual steps.
  5. Molecule design Research Diffusion and reinforcement learning models that generate drug candidates for mutant p53. Presented at three conferences.
  6. Polydiff Research A diffusion model that draws polygons.
  7. KArchive Web app A searchable video archive that answers questions with citations.
  8. eQoScan Hackathon prize Time-bound QR codes for reusable containers. Led a team of four; won a prize at WesHack 2024.
2026
Software Engineer Intern, Chatham Financial. Built Curve Explorer in ONYX Pro.
2024–2026
Lab Researcher, Thayer Lab, Wesleyan. Guided diffusion models for protein-targeted molecule generation in PyTorch; candidates reached −8.76 kcal/mol against p53 Y220C.
2022–2026
Teaching Assistant, Wesleyan. Four core CS courses (Python, C, AI, HPC), 100+ students.
Wesleyan University
BA, Computer Science, Mathematics and Integrative Sciences, 2026. GPA 3.76.
Coursework
Graduate machine learning, artificial intelligence, algorithms and complexity, program analysis, computer networks, probability and statistics, real analysis.
Languages
Python, TypeScript, JavaScript, Swift, Java, C, C#, SQL, OCaml, GLSL, Bash
Machine learning
PyTorch, NumPy, pandas, scikit-learn, RDKit
Product
React, Flask, .NET, iOS and macOS, Three.js / WebGL, Vitest
Infrastructure
Git, Docker, Linux, HPC clusters, CI

There is a longer story about where I come from, for anyone curious.

Background