Guillaume Baudart is a researcher at Inria’s PICUBE team (IRIF, Université Paris-Cité) with nine years of experience bridging programming languages and probabilistic modeling. His work focuses on probabilistic and reactive programming languages and has recently expanded into applying generative AI to interactive theorem proving. Prior roles at IBM as a Research Staff Member and multiple research internships across ENS, IRCAM and Goldsmiths reflect a strong mix of industry and academic collaboration. He holds a PhD in Computer Science from École normale supérieure and complementary degrees in computer science, signal processing for music, and mathematics. Based in Paris, he brings deep formal-methods expertise to practical AI-driven tooling for proof assistants—an uncommon combination that targets making formal verification more interactive and accessible.
9 years of coding experience
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Université de Rennes I
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at École normale supérieure
Master ATIAM, Computer Science, Signal Processing, and Acoustic applied to Music, Master ATIAM, Computer Science, Signal Processing, and Acoustic applied to Music at Université Pierre et Marie Curie
Magister, Computer Science, Magister, Computer Science at École normale supérieure de Rennes
Contributions:1 PR, 160 pushes, 1 branch in 6 years 1 month
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