Summary
Benoît Valle is a data scientist based in Lyon with eight years of experience at the intersection of plant ecophysiology and data engineering, currently building agrivoltaic sensing and decision systems for Sun'R. He combines a PhD in plant adaptation with hands-on skills in sensor instrumentation, LoRaWAN data pipelines, time-series analysis and production Python to turn raw microclimate and computer-vision data into dashboards and alerts that inform agricultural decisions. Past roles include developing crop models and a web decision-support tool for potato production, and automating phenotyping using Raspberry Pi during his doctoral work. Comfortable from field experiments to Docker/Kubernetes-deployed services, he blends domain science with pragmatic software practices to optimize crop growth under solar panels. An owner-operator of both experimental design and production data stacks, he often bridges gaps between agronomy teams and cloud-native deployments.
8 years of coding experience
Doctor of Philosophy - PhD, Écophysiologie et Adaptation des plantes, Doctor of Philosophy - PhD, Écophysiologie et Adaptation des plantes at Montpellier SupAgro
Classe Préparatoire aux Grandes Écoles BCPST, Classe Préparatoire aux Grandes Écoles BCPST at Lycée Ozenne
Engineer's degree, Agronomie et phytotechnie, Engineer's degree, Agronomie et phytotechnie at AGRO Toulouse - Ecole nationale supérieure agronomique de Toulouse
Master 2 Research, Biosciences Végétales, Master 2 Research, Biosciences Végétales at Université Paul Sabatier (Toulouse III)
English, Spanish