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Researcher's profile

Thien-Thanh, Dang-Vu

Dang-Vu Thien-Thanh

Thème primaireNeuroscience of agingThèmes secondairesInterventions and sustainable health

Contact information

TT.DangVu@concordia.ca

Biography

Dr. Thien Thanh Dang-Vu is a neurologist and Full Professor in the Department of Health, Kinesiology and Applied Physiology at Concordia University, where he holds a Tier 1 Research Chair in Sleep, Neuroimaging, and Cognitive Health. Since 2013, he has also been a clinician-researcher at the Institut universitaire de gériatrie de Montréal (CRIUGM), where he serves as Associate Director for Clinical Research. He is an adjunct professor at both Université de Montréal and McGill University and is actively involved in several research networks (CCNA, RQRV, QBIN, QPN). Dr. Dang-Vu earned his M.D. and Ph.D. in Neuroscience at the University of Liège (Belgium), followed by postdoctoral fellowships in sleep medicine and neurology at Harvard Medical School and Université de Montréal.

He has received numerous awards and recognitions, including the Banting Postdoctoral Fellowship, Petro-Canada Young Innovator Award, FRQS Junior 1 & 2 Awards, and has been named a Fellow of the American Academy of Sleep Medicine and a Member of the College of New Scholars of the Royal Society of Canada. Over the past decade, his research has been supported by major grants from CIHR, FRQS, Weston Brain Institute, NRC, and private foundations (Jazz Pharmaceuticals, Paladin Labs, Hypersomnia Foundation).

Research interests

Dr. Dang-Vu’s research focuses on the neural mechanisms of sleep and sleep disorders (particularly insomnia and hypersomnias), and their impact on cognition and brain health, especially in older adults. His work combines multimodal neuroimaging approaches (EEG, fMRI, SPECT) with behavioral and experimental methods. He also investigates brain plasticity, neural biomarkers, and develops non-pharmacological therapeutic strategies, including digital health interventions such as web-based platforms and online CBT programs. His research has a strong translational component, aiming to bring innovative, evidence-based interventions to clinical practice, particularly in the fields of aging, cognitive prevention, and mental health.

Keywords : sleep, brain imaging, cognition, insomnia, EEG, fMRI, aging, brain plasticity, biomarkers, digital interventions.