Laurent Oudre - Home Page

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I'm currently a Full Professor at ENS Paris-Saclay in the Centre Borelli (UMR 9010). My research activities focus on machine learning, time series analysis, pattern recognition and signal processing, with applications in biomedical research and industry.

Jobs offers, internships, PhD positions available : send me an e-mail !

CV (in French) available here

Short Bio

Laurent Oudre is a full professor at the Centre Borelli of the Ecole Normale Supérieure Paris-Saclay (France). He leads a team of more than ten young researchers and has been working for about fifteen years on signal processing, pattern recognition and machine learning for time series. His work covers a wide range of topics: event detection (including change-point, pattern and anomaly detection), feature extraction, unsupervised or semi-supervised approaches, representation learning and graph signal processing. His scientific projects are mainly focused on AI applications in health and industry, often with a strong interdisciplinary component. He is also involved in initiatives around reproducible research and acculturation to AI (especially for the medical community). He is the author of more than 100 patents and articles in international peer-reviewed journals and conferences. He is also the director of the MVA (Mathematics, Vision and Learning) master's degree at the ENS Paris-Saclay.

ENS Paris Saclay
Centre Borelli
4, avenue des Sciences
91190 Gif-sur-Yvette
Bureau 2U20b
Batiment Nord, 2ème étage
+33 1 81 87 53 96
laurent.oudre [at] ens-paris-saclay [dot] fr

Teaching programs

	Director of the MVA Master's degree (Mathématiques, Vision et Apprentissage)
	Director of the ARIA diploma (Année de Recherche en Intelligence Artificielle)

Current projects

	BrevetAI (2022-): innovative educational tool aimed at acculturation to artificial intelligence. Collaboration with Cluster DATAIA, SaclAI School. Funded by ANR and France 2030.
	ANR SYMOUSE (2025-): Interpretable symbolic representation for multimodal assessment of behavioral alterations in neurodegenerative diseases. Collaboration with Neuropsi and IBENS. Funded by the PEPR Maths Vives (ANR and France 2030).