Cohen-Adad Julien
Contact information
Biography
Julien Cohen-Adad is a Professor in the Department of Electrical Engineering at Polytechnique Montréal, Canada Research Chair in Quantitative Magnetic Resonance Imaging (Tier 2), and associate academic member of Mila – Quebec Artificial Intelligence Institute. He holds dual PhDs in Applied Mathematics from École Centrale de Paris and Biomedical Imaging from Université de Montréal, followed by a postdoctoral fellowship in ultra-high field MRI at Harvard Medical School. He is also affiliated with the CRIUGM and several international research consortia.
Research interests
His research bridges MRI physics, artificial intelligence, and neuroimaging, with a focus on developing quantitative MRI methods for the brain and spinal cord. He has made significant contributions to the study of demyelinating diseases such as multiple sclerosis, spinal cord injury, and chronic pain, using cutting-edge computational and imaging techniques. His lab develops open-source software tools such as Spinal Cord Toolbox and IVADOMED, supporting reproducible, multi-site neuroimaging analysis.
Cohen-Adad has led or co-led numerous competitive research projects funded by NSERC, FRQS, IVADO, TransMedTech, CIHR, the Quebec government, and international initiatives. His work has been recognized by multiple awards, including the Tanenbaum Open Science Prize and selection among Quebec Science’s Top 10 Discoveries of the Year in 2022. He is a leading advocate for open science, co-developing interoperable tools and data-sharing platforms for the neuroimaging community.
Keywords: quantitative MRI, spinal cord, brain, artificial intelligence, deep learning, neuroimaging, biomarkers, multiple sclerosis, open science, medical imaging software.