Resume
Academic Achievements
- Involved in several research projects, such as OGRE (2026-2029), which explores generative models and their application to extreme events detection in multimodal remote sensing data; Change Detection in Very High Resolution Images (2022-2025); and Multimodal Self-Supervised Learning for Earth Observation (2022-2026).
Research Experience
- Postdoctoral researcher in the IMAGINE team of ENPC, working with Mathieu Aubry on unsupervised learning for text recognition; currently a project manager and researcher at the French Mapping Agency IGN and LASTIG, focusing on change detection for earth observation and deep learning applied to geospatial data.
Education
- Ph.D. from Université Paris Saclay and Télécom Paris, in the IMAGE team, supervised by Yann Gousseau, Saïd Ladjal, and Olivier Bonfait, working on deep learning for art analysis.
Background
- Innovation Project Manager at the French Mapping Agency IGN and researcher at LASTIG. Research interests include deep learning applied for geospatial data and historical images.
Miscellany
- Resides in Saint-Mandé, personal interests not detailed.