Sophie Giffard-Roisin
Scholar

Sophie Giffard-Roisin

Google Scholar ID: tdFK7TEAAAAJ
ISTerre, Université Grenoble Alpes, IRD
Machine learninginverse problemsclimate informaticsnatural hazardscardiac modelling
Citations & Impact
All-time
Citations
856
 
H-index
16
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 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.
Co-authors
0 total
Co-authors: 0 (list not available)