
The Luvo 100 / ANZ
Luvo 100 ANZNEW ENTRY
Cezary Kaliszyk
Professor in Theoretical Computing Science
University of Melbourne
Australia
Verified & Formal Systems
Why Cezary Kaliszyk is in the Luvo 100
Cezary co-developed CoqHammer to help Coq users automate proofs needed for program verification and mathematical work. The tool combines machine-learning guidance with automated proof search, then reconstructs results for Coq to check. Its open-source availability and documented research give verification practitioners reusable tools for reducing manual effort while retaining machine-checked assurance.
About
Cezary Kaliszyk is Professor in Theoretical Computing Science at the University of Melbourne, focusing on automated reasoning and formal methods. Earlier work includes research at the University of Innsbruck. Cezary also investigates how machine learning can guide proof search.
With Łukasz Czajka, Cezary co-developed CoqHammer for the Coq proof assistant. CoqHammer selects relevant existing results, calls automated reasoning tools to find a proof, and then rebuilds the proof inside Coq for checking. This process reduces manual proof construction without requiring users to trust external tool outputs. Maintained as open-source software with development continuing in 2026, the tool makes rigorous, machine-checked verification substantially easier to carry out.
Career highlights
- Professor in Theoretical Computing Science at the University of Melbourne
- Conducted research at the University of Innsbruck
- Co-developed CoqHammer with Łukasz Czajka
- Co-authored research on learning-guided automated reasoning for Isabelle/HOL
- Principal investigator of the AI4Math project DEEPER