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Since october 2023, I am a research associate at Inria, working in Laboratoire Hubert Curien (UMR 5516, Saint-Étienne, FRANCE). My research focuses on Physics-Informed Neural Network, and how graph signal processing can be leveraged.

From september 2020 to september 2023, I was an assistant professor at École Nationale de la Statistique et de l'Analyse de l'Information (ENSAI, Rennes, FRANCE), in the computer science department. My research focused on graph learning.

From april 2016 until august 2020, I was a Postdoctorate Fellow 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.