Laurent Oudre is currently a Full Professor at Centre Borelli of the Ecole Normale Supérieure Paris-Saclay. He leads a team of about 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 issues (event 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 fifty patents and articles in international peer-reviewed journals and conferences. He is currently the head of the MVA Master Program (Mathematics, Vision, and Machine Learning) of ENS Paris Saclay.