Summary
Louis-Philippe Noël is a VP of Data Science & AI with nine years of experience turning advanced ML research into production-grade healthcare products. He combines a Mila master’s in Machine Learning with an Industrial Engineering and Six Sigma background, giving him a rare blend of rigorous process design and cutting-edge AI expertise. He has led and scaled engineering and applied research teams at Dialogue, built MLOps infrastructure and LLM PoCs at Vitr.ai, and now architects AI strategy and delivery at Kento Health. Known for pragmatic MLOps, cloud-native deployment (AWS/Kubernetes), and low-latency model production, he focuses on making models commercially viable rather than academic proofs. Outside the obvious technical chops, his early quality-audit and industrial engineering roles inform a systems-thinking approach to compliance and operational resilience in regulated healthcare settings.
9 years of coding experience
11 years of employment as a software developer
Master's degree Machine Learning (AI), Master's degree Machine Learning (AI) at Mila - Quebec Artificial Intelligence Institute
Bachelor Industrial Engineering, Bachelor Industrial Engineering at Université Laval
DEC Sciences de la nature, DEC Sciences de la nature at Cégep de Chicoutimi
French, English, Spanish