Summary
Yaël Balbastre is a biomedical image analysis scientist and engineer with 13 years’ experience developing statistical MRI segmentation, image registration and morphometry tools across academic centres in Europe and the US. Trained in applied mathematics and computer science (ENSIMAG) and holder of a PhD from Paris‑Saclay, Yaël led validation of macaque brain morphometry pipelines at CEA and later advanced multimodal MRI–histology registration and high-resolution tissue image processing at UCL, MGH/HST Martinos Center and Harvard. Funded as a Newton International Fellow in London, they bridge rigorous algorithm development (C/C++, Python, CMake) with practical neuroimaging applications in neurodegeneration models. Notably, their work combines whole‑slide histology reconstruction with voxel‑wise MRI analysis, enabling cross‑scale quantitative comparisons that are rarely integrated so tightly in academic pipelines.
13 years of coding experience
3 years of employment as a software developer
Classe préparatoire, Physics and Industrial Science, Classe préparatoire, Physics and Industrial Science at Lycée Gustave Eiffel
University Degree (DU), Translational Research in Neuroscience, University Degree (DU), Translational Research in Neuroscience at Paris-Sud University
Engineer's Degree, Mathematical Modeling, Image, Simulation, Engineer's Degree, Mathematical Modeling, Image, Simulation at ENSIMAG - Grenoble INP
Doctor of Philosophy (PhD), Biomedical Image Analysis, Doctor of Philosophy (PhD), Biomedical Image Analysis at Paris-Saclay University
French, English