Bellec Lune
Contact information
Biography
Lune Bellec is a Full Professor in the Department of Psychology at Université de Montréal and a regular researcher at the Centre de recherche de l’Institut universitaire de gériatrie de Montréal (CRIUGM). She is also an associate member of Mila – the Quebec Artificial Intelligence Institute – where she contributes to bridging neuroscience and machine learning.
She earned her Ph.D. in medical imaging from Université Paris XI and completed postdoctoral training at McGill University’s Montreal Neurological Institute. She also holds the French national agrégation in Mathematics (2000).
At CRIUGM, she directs the SIMEXP lab (Simulation, Exploration and Modeling of the Brain), which develops computational tools to analyze large-scale neuroimaging data. She is principal investigator of the Courtois NeuroMod project, a major initiative to build individual brain models and advance open science in neuroimaging.
Research interests
Her research interests lie at the intersection of computational neuroscience, functional neuroimaging, and artificial intelligence. She is particularly focused on:
-
The functional organization of the human brain using functional magnetic resonance imaging (fMRI);
-
The development of algorithms and statistical methods for analyzing large neuroimaging datasets;
-
Machine learning applied to neuroscience, especially for predicting cognitive or clinical traits from brain connectivity;
-
Open science, through the sharing of tools, data, and reproducible pipelines (e.g., through the NeuroLibre project);
-
Neurodegenerative diseases such as Alzheimer’s disease, where her methods are used to identify potential functional biomarkers.
Keywords: artificial intelligence, machine learning, brain imaging, neurodegeneration biomarkers, neural modeling, brain data analysis.
