Summary
Sylvain Prigent is a data scientist and engineer with 11 years of experience applying AI and image analysis to life sciences, medical imaging, and industrial use cases from Rennes, France. He has led interdisciplinary teams to productize research—designing BioImageIT (published in Nature Methods), launching Eve Software 2.0 features, and delivering AI tools for Airbus and Galderma—bridging labs and production systems. Skilled at product ownership and architecture, he prototypes scalable data storage and analysis pipelines while coordinating cross-functional teams of product managers, data scientists and biologists. A practical innovator, he built widely adopted tooling such as Platform-Manager to streamline facility operations and has released open-source code and plugins to lower barriers for end users. His background spans PhD-level imaging research, technology transfer, and a knack for turning complex microscopy algorithms into usable software for pre-clinical studies.
11 years of coding experience
Master's degree, Signal Image Parole Telecom, Master's degree, Signal Image Parole Telecom at Institut polytechnique de Grenoble
Research Doctorate, Traitement des Images, Research Doctorate, Traitement des Images at Université de Nice-Sophia Antipolis
Master of Engineering (M.Eng.), Signal and image processing, Master of Engineering (M.Eng.), Signal and image processing at Grenoble INP - Ense3
French, English