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Lune Bellec is a full professor in the Department of Psychology at the University of Montreal. Her research focuses on characterizing the anatomo-functional architecture of individual brains using neuroimaging data, particularly through resting-state fMRI techniques. She is interested in examining brain connectivity as potential biomarkers for neurodegenerative diseases, notably Alzheimer’s disease. Bellec's work raises significant methodological challenges, influencing various technical aspects in the field. She explores resting-state networks in fMRI and utilizes unsupervised pattern recognition techniques, including clustering component analysis. Her current research includes the development of fully synthetic neuroimaging databases that encompass the data-generating process and the physiological noise associated with neural activity. Over her career, she has led numerous projects funded by notable organizations, focusing on individual brain functioning and the integration of artificial intelligence with neuroscience. Bellec supervises multiple graduate students and contributes to several significant research initiatives aimed at improving diagnostic methodologies in neuroimaging.
University of Montreal • Montreal, QC
Teaching and conducting research in the field of Psychology, focusing on neuroimaging and its application in understanding brain functionality.
Most programs require French B2 level; specific departments may require C1 or C2.