About

I am a research scientist at INRAE, UMR TETIS, Montpellier, France, working on artificial intelligence for remote sensing applications in agriculture, ecosystems and environment. I am a member of the Inria team EVERGREEN.

Previously, I was a postdoctoral researcher at IMAG mathematics laboratory in Montpellier, France, working with Joseph Salmon at the EPS (probability and statistics) team and funded by the CAMELOT (CooperAtive MachinE Learning and OpTimization) chair. I also did a 2-year post-doc in 2020 and 2021 at IRIT in Toulouse, France, in the context of the ERC project FACTORY, coordinated by Cédric Févotte.

I obtained my PhD in November 2019 from University of Rennes 1, supervised by Rémi Gribonval at Inria Rennes.

Before that, I obtained a double degree in Electrical Engineering at University of Campinas (Bachelor) and Ecole Polytechnique (Dipl. Ing.) in 2014 followed by a Master’s degree from University of Campinas in 2016, supervised by Renato R. Lopes. I also have over two years of R&D experience at Idea! Electronic Systems, UPMC and Schneider Electric.

My recent research activities lie on the frontier between signal processing, machine learning and convex optimization.

Main research topics:

• Machine/deep learning for Remote Sensing data
• Domain adaptation/generalization
• Interpretable AI
• Multimodal learning

Technical skills:

• Non-smooth optimization
• Sparse signal/image processing
• Multi-dimensional data modeling
• Matrix/tensor factorization

See more details here.

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