Sabourin

Anne Sabourin is assistant professor in the S2A research team at Télécom Paris since 2013. She received her PhD degree in 2013 on multivariate extreme values and Bayesian inference at Lyon 1 University, under the supervision of Anne-Laure Fougères and Philippe Naveau. Her research interests concern multivariate extreme value theory, dependence between rare events, dimension reduction in extreme regions, with various applications ranging from environmental risk to machine learning applications such as anomaly detection.

She is co-responsible for the Axis 3: Machine Learning for trusted and robust decision.

Keywords: multivariate extreme value theory, rare events, dimension reduction, anomaly detection.

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