Summary
Baptiste Darnala is a data scientist with eight years of experience applying ML, deep learning and semantic technologies to agricultural data, currently working at Elzeard. He combines research-grade expertise from a PhD in AI with hands-on product work: visualizations, predictive models and chatbot tools to improve adoption of ag-tech platforms. His doctoral work produced ontologies and knowledge graphs for crop planning and rotation recommendations, blending symbolic and statistical approaches. He contributes to open-source interoperability efforts through the DataFoodConsortium, helping short-supply-chain platforms share data more effectively. Active in hackathons like OpenBooster and DataForGood, he enjoys turning academic ideas into practical prototypes that address real-world food-system challenges. Based in Bordeaux, he brings a rare mix of semantic resource development and applied ML experience to data-driven agriculture.
8 years of coding experience
Docteur en informatique, Artificial Intelligence, Docteur en informatique, Artificial Intelligence at Université de Montpellier
English, French, Spanish