Summary
Rémi Delmas is a Principal Applied Scientist based in Boston with nine years of industry experience and a long research pedigree in formal verification for safety-critical systems across railway and aerospace domains. He blends deep expertise in SAT/SMT methods, model-based assurance (CENELEC EN-50128, DO-178C/DO-333, ARP standards) and optimization with applied ML and reinforcement learning for control synthesis and stress testing. At AWS Automated Reasoning Group and formerly at Uber Elevate and ONERA, he has driven fault-tolerant architecture design, runtime safety assurance, and design-space exploration for Urban Air Mobility. Comfortable moving between research and production, he has built SIL-4 certifiable verification tools and mentored students while bridging industrial deployment and formal methods research. An uncommon strength is his combination of hands-on formal-tool development and practical reinforcement-learning approaches to falsification and robust control, enabling both certifiable evidence and resilient controller behavior.
9 years of coding experience
16 years of employment as a software developer
PostGrad, Computer Science, PostGrad, Computer Science at RMIT University
Aerospace Engineer, Industrial Computer Systems, Aerospace Engineer, Industrial Computer Systems at Ecole Nationale Supérieure de Mécanique et d'Aérotechnique
Doctor of Philosophy (PhD), Fundamental Computer Science, Doctor of Philosophy (PhD), Fundamental Computer Science at ISAE-SUPAERO
anglais (courant)