About me

I work at the interface between computer vision and remote sensing, developing more interpretable machine learning models for environmental applications, with a particular focus on mapping the world’s biodiversity. I’m equally interested in applying these models, and helping others apply them, to real and impactful problems.

Positions. PhD position to open in 2027: Open-World Species Identification by Emulating Experts. Details

Service

  • Associate Editor, Computer Vision and Image Understanding (CVIU)
  • Area Chair, ICML 2027

News

2026ANR JCJC project eTaxonomist (Open-World Species Identification by Emulating Experts) funded (2026-2030).
2026AgriScienceFM, a €6M Horizon Europe project on AI foundation models for agriculture, was funded (2026-2029).
2025“Atomizer” (with Hugo Riffaud de Turckheim, Sylvain Lobry, and Roberto Interdonato) won the Best Presentation Award at BMVC 2025.
2025New paper in Nature Communications on drone-based mapping of palm species in the Peruvian Amazon.
2024Two papers accepted: PDiscoFormer (ECCV 2024) and Coarse-to-fine concept bottleneck models (NeurIPS 2024).

Career

2022-presentJunior Professor
Inria, Montpellier, France
2019-2022Postdoctoral researcher / Assistant professor
Geoscience and Remote Sensing lab, Wageningen University, The Netherlands
2015-2019PhD, cum laude: “Injecting spatial priors in Earth Observation with machine vision”
Wageningen University, The Netherlands (advisor Prof. Devis Tuia)
2017Visiting student
University of Toronto, Canada (advisor Prof. Raquel Urtasun)
2011-2014MSc, Computational Science and Engineering
EPFL, Lausanne, Switzerland