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Since September 2020, I am an assistant professor at École Nationale de la Statistique et de l'Analyse de l'Information (ENSAI, Rennes, FRANCE), where I teach computer science. My research focuses on graph signal processing, and more particularly on statistical graph signal processing.

From April 2016 until August 2020, I was a Postdoctorate with Professors Antonio Ortega and Shri Narayanan and then a computer scientist at the University of Southern California (USC), in the department of Electrical Engineering, where I focused on applying the tools of signal processing on graphs to understand human behavior. In particular, I worked on mathematical foundations of graph signal processing and on the TILES project (Tracking IndividuaLs pErformance using Sensors).

I obtained my Ph.D. in Computer Science from École Normale Supérieure de Lyon (Lyon, FRANCE) in December 2015, entitled Signal Processing on Graphs -- Contributions to an Emerging Field and supervised by Éric Fleury and Paulo Gonçalves. My dissertation focused on both presenting the premises of the field, and on my work, namely the framework of Stationary Graph Signals, the isometric graph translation operator (see this web page for examples), and a graph to smooth signal transformation.

Finally, I have a Master degree in Computer Science from École Normale Supérieure de Cachan (Cachan, FRANCE), namely the Master Parisien de Recherche en Informatique (MPRI) focusing on software verification, and theoretical computer science in general. I have a B.Sc. in Computer Science from Université Paris VII (Paris, FRANCE), and attended Classes Préparatoires (MPSI / MP*) at Lycée Chateaubriand (Rennes, FRANCE).