Summary
Nicolas Hervé is Head of Research at INA with 14 years of experience leading applied ML and information retrieval efforts across audiovisual and news ecosystems. He combines a PhD in computer vision with long-standing expertise in NLP, data mining and image analysis, having progressed from post-doc roles to senior researcher and research lead. His work focuses on adapting and training large language models to analyze and index audiovisual content, bridging technical ML development with collaborations in the humanities and social sciences. Pragmatic and research-driven, he has deep hands-on experience in Python, Java and R and a track record of turning academic methods into production-capable tools for media analysis. An often-overlooked strength is his decade-long study of information propagation across TV, radio, press and social networks, which informs robust, context-aware models for real-world media.
14 years of coding experience
20 years of employment as a software developer
Miage, Computer science, Miage, Computer science at Nantes Université
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Université Paris Sud (Paris XI)
National Conservatory of Arts and Crafts
French, English