معرفی
Elodie Germani is a Research and Teaching Associate in the MEDICIS research team at the University of Rennes' Laboratoire Traitement du Signal et de l'Image (Department of Signal, Image, and Language). She holds a PhD in Computer Science from the University of Rennes, where her thesis explored analytical variability in fMRI studies under supervision by Camille Maumet and Elisa Fromont. Previously, she completed a postdoc at Bonn University Hospital and a visiting research stint at Concordia University. Her work focuses on trustworthy AI in medical imaging, addressing variability and bias in neuroimaging analysis to improve healthcare accessibility and reproducibility.
- Affiliations: University of Rennes, Universitätsklinikum Bonn (postdoc), Concordia University (visiting)
- Education: PhD in Computer Science (Rennes), Master's in Bioinformatics
Her research interests include mitigating analytical variability in fMRI studies, developing inclusive healthcare solutions, and advancing reproducible research practices. Key contributions include the HCP Multi-Pipeline dataset and style transfer techniques for neuroimaging standardization. She advocates for gender diversity in STEM through initiatives like the Lcodent Lcréent program and Pint of Science Festival.
- Awards: 2024 L'Oréal-UNESCO Young Talent Award for Women in Science
- Grants/Projects: Focus on AI-driven solutions for robust medical imaging analysis
Elodie collaborates with interdisciplinary teams across Europe and North America, contributing to open science initiatives and bridging clinical needs with computational advancements.
