Mathematics as the shared language of proof and science.
AI Mathematician studies how AI systems can help develop mathematics itself — formalizing proofs so they can be machine-checked, and connecting learned models with the mathematical structure that underlies science and engineering.
Our approach
We treat mathematics as having two complementary roles: a self-contained deductive system built from definitions and axioms, and a modeling language used to write and test hypotheses about the natural world.
Formal proof assistants like Lean let AI tools search, fill, refactor, and verify long chains of reasoning with tight feedback. Applied mathematics — PDEs, optimization, simulation — connects those same rigorous habits to real scientific and engineering problems.
Who we are
AI Mathematician is led from the OPTIMAL research group at IIIT Hyderabad — mathematicians and computer scientists working on provably fast optimization and machine learning algorithms, formal verification, and AI for science.
AI Mathematician is part of the AI Wranglers family of sites, alongside AI Biologist.
Our promise
Rigor first
We favor claims that can be checked — by a proof assistant, by data, or by reproducible computation.
Two languages, one goal
Formal proof and applied mathematical modeling are treated as complementary tools, not competing paradigms.
Built to keep pace
As formal methods and AI models improve together, our research agenda and material are revised alongside them.
Want to know more about the research behind AI Mathematician?
Visit the creator's personal research page for papers, projects, and background.