Matej Penciak
Research Scientist at Beneficial AI Foundation
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolMatej Penciak is a research scientist and software engineer with a PhD in mathematics and four years of industry experience bridging formal verification, cryptography, and proof formalization. He has shipped applied cryptography and verification work at startups and contributed to mathlib4, porting core Lean 3 mathematics to Lean 4—demonstrating deep familiarity with theorem-prover internals. Proficient in Lean 4, Rust, Python, Solidity and Haskell, he pairs rigorous mathematical reasoning with pragmatic engineering practices including CI, reproducible builds, and cross-platform workflows. His academic background in algebraic geometry and integrable systems informs research at the intersection of formal methods and mathematical physics, and he has experience designing curricula and mentoring undergraduates. Based in New York, he currently works on research problems at Beneficial AI Foundation, bringing a rare combination of formal proof expertise and production-grade software skills.
4 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics and Physics, Bachelor's degree, Mathematics and Physics at University of RochesterDoctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Illinois Urbana-Champaign
Github Skills (5)
mathematics10
slim10
t410
math10
algebra10
Programming languages (10)
Github contributions (5)
leanprover-community/mathlib4
Dec 2022 - Jan 2023
The math library of Lean 4
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 12 commits, 17 PRs in 1 month
Contributions summary:Matej primarily focused on porting mathematical definitions and theorems from Lean 3 to Lean 4, within the `mathlib4` repository. Their work involved adapting code for the new Lean version, as evidenced by the changes in the commit messages and the differences in the code changes. The user demonstrated an understanding of Lean's syntax, mathematical concepts and library structure by refactoring code related to divisibility and units.
math-librarylean4
argumentcomputer/Poseidon.lean
Sep 2022 - Oct 2022
A Lean 4 implementation of the Poseidon zkSNARK-friendly hash function
Contributions:4 reviews, 34 commits, 7 PRs in 1 month
hash-functionszksnark
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