Stephan Clémençon is a full professor at Télécom Paris, Institut Mines-Télécom, and head of the S2A Research Team (Signal, Statistics and Learning). He carries out his research activity in applied math in the Télécom Paris LTCI Lab. His research topics are mainly related to machine learning, probability and statistics. He is in charge of the Big Data Post-Master Degree at Télécom Paris and held the Machine Learning for Big Data Chair from 2013 to 2018.
He is co-responsible for the Axis 1: Building predictive analytics on time series and data streams.
Keywords: ranking, clustering, anomaly detection, graph-mining, recommendation systems