Chercheur at Conservatoire National des Arts et Métiers
Paris, Ile-de-France
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Summary
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Senior
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Top School
Pierre-henri Paris is a researcher and associate professor in AI based in Paris with a decade of experience at the intersection of Big Data and artificial intelligence, specializing in knowledge graphs. He leads applied research on data quality and interlinking for large knowledge bases, with prior work on spatial entity matching at IGN and a strong software engineering background in .NET systems for publishing and e-commerce. Trained in mathematics and computer science (DEUG/Licence) and holder of advanced degrees in information systems and a doctorate in computer science, he blends rigorous theory with practical system-building. Curious and dynamic, he combines academic teaching and tutoring experience with hands-on project supervision, making him comfortable moving projects from research prototypes to production-ready solutions. An aspect not immediately obvious from his title: his work emphasizes explicability and recommendation use-cases for knowledge graphs, bridging ML interpretability and enterprise knowledge organization.
10 years of coding experience
DEUG Mathématiques, Informatique Appliquées aux Sciences, DEUG Mathématiques, Informatique Appliquées aux Sciences at Université de Cergy-Pontoise
National Conservatory of Arts and Crafts
Classe préparatoire scientifique aux Grandes Ecoles (MPSI), Classe préparatoire scientifique aux Grandes Ecoles (MPSI) at Lycée Camille Pissarro
Baccalauréat Scientifique spécialité Mathématiques, Baccalauréat Scientifique spécialité Mathématiques at Lycée Alfred Kastler
Doctorat, Informatique, Doctorat, Informatique at Université Pierre et Marie Curie
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