Huet

Nathan Huet is a PhD student since September 2021 under the supervision of Stephan Clémençon and Anne Sabourin (Télécom Paris). He first obtained a Bachelor’s degree in Fundamental and Applied Mathematics, then obtained his Master’s degree at the University of Paris-Saclay in Mathematics of Randomness, with a specialization in Probability and Statistics. After a research internship at Télécom Paris from 14/04/2021 to 30/09/2021, with the topic: “Extreme Value Analysis of Functional Data and Applications to the Detection of Functional Anomalies”, under the supervision of Stephan Clémençon and Anne Sabourin, Nathan continued with a thesis, supervised by the same team. His research focuses on the processing of atypical functional data for anomaly detection. The probabilistic framework adopted is that of regular variation and extreme value theory in functional spaces.

Keywords: Extreme value theory, Functional analysis, Dimension reduction