Benoit Combès

Benoit Combès is a Research Scientist at Inria, affiliated with the Empenn Team. His work bridges Computer Science, Machine Learning, and Medical Imaging to develop and assess tools for Multiple Sclerosis (MS) patient follow-up and clinical decision-making.

• Current Research: Focuses on image processing and statistical analysis of MRI data to optimize MS lesion detection and spinal cord imaging.
• Past Roles: Post-doctoral research in quantitative MRI, statistical modeling, and macrophage activity analysis for MS.

His research spans Neurology, Medical Imaging, and Data Analysis, with recent publications in deep learning for lesion segmentation, MRI reproducibility, and spinal cord damage assessment. Collaborations include neurology departments and clinical teams across France, with a focus on clinical translation of automated tools.

Supervisions include PhD students and engineers working on spinal cord databases, machine learning for MRI, and clinical studies. Current students: Malo Gicquel, Mathilde Liffran, Nolwenn Jégou, and Ricky Walsh.