Summary
Louis-emmanuel Martinet is a Senior Data Scientist with 11 years of experience combining academic research rigor and production-grade software engineering to build ML-driven data products in biology, health, and sustainability. He has led teams and set technical strategy at Indigo, productionalizing Bayesian modeling pipelines, geospatial frameworks, and AWS-based services to drive commercial decisions for biological products. Comfortable across Python, cloud, and MLOps tooling, he emphasizes code quality, testing, and reproducible scientific workflows while mentoring cross-functional collaborators. His earlier research translated into open-source toolsets and publications on seizure prediction, neural-inspired decision models, and multi-camera 3D reconstruction—an uncommon blend that lets him tackle noisy, real-world biological signals with principled probabilistic methods. Now based in Boston, he continues to bridge cutting-edge statistical modelling with deployable data products that influence both R&D and commercial strategy.
11 years of coding experience
9 years of employment as a software developer
Master, Computer Science, Artificial Intelligence, Master, Computer Science, Artificial Intelligence at ENSIIE - École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise
Ph.D., Computer Science, Artificial Intelligence, Neuroscience, Ph.D., Computer Science, Artificial Intelligence, Neuroscience at Sorbonne University
French, English