"Experience does for the soul what education does for the mind."

My research interests are driven by a passion to improve our understanding of the human brain by developing neuroimaging visualization & analysis methods. 

My main focus is to develop software and visualization tools to bridge the gap between computer science and medical imaging. More specifically, my work includes the development of software to navigate the brain's white matter architecture using diffusion MRI tractography, real-time 3D multimodal visualization, anomaly detection based on machine learning, and unsupervised dimensionality reduction approaches applied to neuroimaging data (e.g., brain tumors, epilepsy, multiple sclerosis).

My ambition is to develop the best visualization tools to characterize complex, multi-dimensional data for improved patient-specific healthcare.

Maxime obtained his M.Sc. degree (2011-2013) at the Computer Science Department in Medical Imaging at Sherbrooke University (Quebec, Canada). He pursued his Ph.D. studies in Biomedical Imaging from the Department of Health Sciences at Sherbrooke University (2013-2017), under the supervision of Prof. Maxime Descoteaux. He was a postdoc at the Cardiff University Brain Research Imaging Centre (CUBRIC, UK) from 2017-2021, thankfully supported by the Natural Sciences and Engineering Research Council of Canada (NSERC). After that, Maxime joined the Donders Institute for Brain, Cognition and Behavior (NL) after receiving the Radboud University Excellence Initiative Fellowship (2021-2022). Maxime also served on the Scholarships and Fellowships Selection Committee for Chemical, Biomedical and Materials Science Engineering from 2020-2023.

Research Fellow
2021-2022 Donders Institute for Brain, Cognition and Behavior (NL)
Radboud Excellence Initiative Fellowship

Research Fellow
2017-2021 Cardiff University Brain Research Imaging Centre (UK)
Natural Sciences and Engineering Research Council of Canada Postdoctoral Fellowship