leanprover-community/mathlib4
Jan 2026 – Apr 2026
3 Months active
Languages Used
Lean
Technical Skills
Leanformal verificationmathematical logicFormal VerificationMathematical Logicset theory
Kamille Bidan
PROFILE
Kamille Bidan
Contributed to the leanprover-community/mathlib4 repository by developing foundational features for Model Theory, focusing on formal verification and mathematical logic using Lean. Work included enhancing model encoding and syntax readability, introducing countable instances for bounded formulas, and adjusting notation precedence to streamline formal proof development. Implemented generalized embedding lifting for languages with constants, supporting advanced logical reasoning such as the Tarski-Vaught test. Expanded the Model Theory API with definable functions, substructure construction tools, and ordinal fixed-point lemmas, improving theory reuse and formalization reliability. The contributions emphasized robust type theory, set theory, and theorem proving within a collaborative open-source environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
4
Lines of code
474
Activity Months3
Your Network
315 peopleSame Organization
@m.fudan.edu.cn7
Shared Repositories
308
Amelia LivingstonMember
张守信(Shouxin Zhang)Member
Jingting WangMember
themathqueenMember
Hao ShenMember
Tianyi ZhaoMember
FMLJohnMember
Aaron HillMember
Aaron LiuMember
Work History
April 2026
4 Commits • 2 Features
Apr 1, 2026April 2026 contributions focused on Model Theory API enhancements and ordinal fixed-point foundations in leanprover-community/mathlib4. The work improves definability reasoning, substructure construction, and API ergonomics, enabling more reliable formalizations and broader theory reuse.
4 Commits • 2 Features
Apr 1, 2026April 2026 contributions focused on Model Theory API enhancements and ordinal fixed-point foundations in leanprover-community/mathlib4. The work improves definability reasoning, substructure construction, and API ergonomics, enabling more reliable formalizations and broader theory reuse.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered a core feature enabling generalized embedding lifting to languages with constants in Model Theory within mathlib4, supporting a generalized Tarski-Vaught test and more expressive logic. The work included new definitions and instances to facilitate the lifting, aligning with the expanded language framework and preparing for complex logical reasoning in extended languages. This foundation strengthens the library's ability to reason about models and embeddings, enabling more robust correctness proofs and advanced formal reasoning for research and downstream projects.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered a core feature enabling generalized embedding lifting to languages with constants in Model Theory within mathlib4, supporting a generalized Tarski-Vaught test and more expressive logic. The work included new definitions and instances to facilitate the lifting, aligning with the expanded language framework and preparing for complex logical reasoning in extended languages. This foundation strengthens the library's ability to reason about models and embeddings, enabling more robust correctness proofs and advanced formal reasoning for research and downstream projects.
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 — Mathlib4 Model Theory work focused on core encoding enhancements and syntax readability improvements to enable OTT-proof development and strengthen the mathematical framework. Key features delivered include new Countable instances for bounded formulas in countable languages, and a syntax readability improvement by setting the [[.]] notation precedence to maximum. No major bug fixes were reported this month. Impact includes a more robust model theory encoding, reduced maintenance cost due to simplified syntax, and a solid foundation for upcoming formal proofs. Technologies demonstrated include Lean4, formal encoding in the Model Theory module, and collaboration via linked PRs to address encoding and syntax concerns.
2 Commits • 1 Features
Jan 1, 2026January 2026 — Mathlib4 Model Theory work focused on core encoding enhancements and syntax readability improvements to enable OTT-proof development and strengthen the mathematical framework. Key features delivered include new Countable instances for bounded formulas in countable languages, and a syntax readability improvement by setting the [[.]] notation precedence to maximum. No major bug fixes were reported this month. Impact includes a more robust model theory encoding, reduced maintenance cost due to simplified syntax, and a solid foundation for upcoming formal proofs. Technologies demonstrated include Lean4, formal encoding in the Model Theory module, and collaboration via linked PRs to address encoding and syntax concerns.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability94.2%
Architecture100.0%
Performance94.2%
AI Usage22.8%
Skills & Technologies
Programming Languages
Lean
Technical Skills
Formal VerificationLeanMathematical Logicformal verificationmathematical logicset theorytheorem provingtype theory
Repositories Contributed To
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