Jonas Noblet is a doctoral researcher and NLP analyst based in France with nine years of experience applying machine learning to language data, from academic Winograd schema resolution to automating qualitative coding of user feedback. He blends rigorous training in linguistics and cognitive science (École normale supérieure, Université de Paris, Nanyang Technological University) with practical R&D experience at organizations like SYSTRAN and CNRS. His current doctoral work focuses on scalable NLP pipelines that turn messy product feedback into actionable insights for innovation teams. Jonas pairs technical depth in model design and data processing with a human-centered perspective rooted in linguistics and cognition. Outside research he channels creativity into graphic design and experimental illustrations, an unusual cross-disciplinary strength that informs his approach to data visualization and communication. Fluent in both research and applied development, he is adept at bridging proof-of-concept methods and production-ready solutions.
9 years of coding experience
Double licence, Linguistique Informatique, Mention bien et très bien, Double licence, Linguistique Informatique, Mention bien et très bien at Nanyang Technological University
Licence, Sciences de l'ingénieur, Licence, Sciences de l'ingénieur at Université Pierre et Marie Curie (Paris VI)
Baccalauréat, mention très-bien, Baccalauréat, mention très-bien at Lycée Sevigne
Doctorat, Traitement automatique du langage, Doctorat, Traitement automatique du langage at Université Grenoble Alpes
Master Langue et Informatique, Traitement automatique du langage, Master Langue et Informatique, Traitement automatique du langage at Université de Paris
Master, Sciences cognitives spécialité linguistique, Mention bien, Master, Sciences cognitives spécialité linguistique, Mention bien at École normale supérieure
Contributions:20 pushes, 1 branch in 3 years 8 months
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Jonas Noblet - Chercheur Doctorant Et Analyste Junior at IXIADE