Leading the ANR JCJC Project EDAM: Earth deformation from automatic mapping, which started on Oct. 2024 and will run for the next 4 years; Co-leader of the chaire MIAI (Multidisciplinary institute of AI) MOHAIR, MOnitoring natural Hazards using AI and Remote sensing, running between 2025 and 2029; Pre-prints include 'VIGIA-PlumeNet and VIGIA-PlumeData', 'MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events', 'GeoFlowNet: Fast and Accurate Sub-pixel Displacement Estimation From Optical Satellite Images based on Deep Learning'; Journal publications like 'GeoFlowNet-SAR: Earthquake Displacement Estimation from Synthetic Aperture Radar Images'.
Research Experience
2025-26: Fulbright Research Scholar, Lamont Observatory, Columbia University, New York, USA; 2019-..: IRD researcher, ISTerre laboratory, Université Grenoble Alpes; 2018-2019: Post-doctoral position on climate machine learning at Colorado University, Boulder, USA and LAL, Orsay Paris-Sud (with Claire Monteleoni, Balázs Kégl, and Guillaume Charpiat).
Education
2014-2017: PhD candidate (PhD defense: Dec. 2017) on non-invasive personalisation of cardiac model at Inria Sophia-Antipolis (France) in the Asclepios/Epione team (under the supervision of M. Sermesant, H. Delingette, and N. Ayache).
Background
Research Interests: Applied mathematics and computer science, with a focus on machine learning techniques for natural hazards, solid earth, and climate informatics. Previous research also included medical image analysis, machine learning for cardiac personalisation, and inverse problems.
Miscellany
Looking for post-doc, PhD, or M2 internship candidates interested in working on machine learning for natural hazards applications using satellite images, seismic, and/or GPS signals.