Kexing Ying

PhD Candidate

Lausanne, Vaud, Switzerland
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Summary

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Rockstar
Kexing Ying is a PhD candidate in stochastic analysis at EPFL with six years of software and research experience, based in Lausanne, Switzerland. He combines deep mathematical insight with practical formal-verification engineering, having contributed core algebraic and linear-algebra features to the widely used mathlib3 Lean library. His work on bundled subgroups, sesquilinear forms, and quadratic/bilinear forms demonstrates both theoretical depth and applied implementation skill in proof assistant environments. Comfortable in back-end development for proof libraries, he bridges rigorous mathematics and reproducible software engineering. Colleagues can expect a methodical problem-solver who translates abstract concepts into verifiable code and tooling.
code6 years of coding experience
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Github Skills (9)

g10
formal-verification10
leanback10
cgroups10
linear-algebra10
math-library9
maths9
math9
mathlib9

Programming languages (3)

LeanHTMLPython

Github contributions (5)

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Lean 3's obsolete mathematical components library: please use mathlib4
Role in this project:
userBack-end Developer
Contributions:503 reviews, 488 commits, 116 PRs in 2 years 9 months
Contributions summary:Kexing primarily contributed to the `mathlib3` mathematical components library, focusing on the development of bundled subgroups and sesquilinear forms. Their work involved implementing key features in group theory and linear algebra, as seen in commits related to matrix, bilinear form, and quadratic form calculations. The commits demonstrate a strong understanding of mathematical concepts and their implementation within a formal verification framework.
maththeorem-provingcomponents-librarymathematicsjavascript
JasonKYi/probability_theory

Jul 2021 - Nov 2021

Probability theory in Lean with the ultimate goal being the Radon-Nikodym theorem
Contributions:90 commits, 2 PRs, 80 pushes in 4 months
dependent-typesprobability-theorytheoremgoalfuzzy-logic
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Kexing Ying - PhD Candidate