Summary
Jean-baptiste Tristan is a Senior Principal Scientist based in Cambridge, MA with 14 years of experience at the intersection of formal methods, machine learning, and production AI. He has led core ML research and fairness efforts at Oracle Labs, taught advanced ML and compilers at Harvard and Boston College, and now drives agentic security and neurosymbolic guardrails for AWS Agentic AI. His background combines formal verification (Lean, Dafny, CompCert) and probabilistic modelling with practical systems work such as large-scale topic modeling and GPU-accelerated inference. He has a PhD in computer science from Université Paris Cité and a postdoc from Harvard, reflecting deep theory paired with hands-on implementation. Notably, he has translated formal proofs into deployable tooling—ranging from compiler correctness to differential-privacy verification—bridging proof-first research and cloud-scale AI safety. Colleagues rely on him for rigorous, reproducible solutions to hard verification and fairness problems in real-world ML systems.
14 years of coding experience
14 years of employment as a software developer
Master, Computer science, Master, Computer science at Ecole normale supérieure
Ph.D., Computer science, Ph.D., Computer science at Université Denis Diderot (Paris VII)
postdoc, Computer Science, postdoc, Computer Science at Harvard University
English, French