## Presentation

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.