M. Mallar Chakravarty, PhD, develops and uses computational neuroanatomical techniques to understand how the structure of the brain is altered in neuropsychiatric disorders. These techniques include the automated identification of structures and computational metrics that quantify their shape. He is currently working on adding information from diffusion tensor imaging in order to describe inter-structural connectivity. Many of these techniques can be used to elucidate phenotypes that can help describe brain risk for the major psychosis or pathological ageing. To date, Dr. Chakravarty and the Computational Brain Anatomy (CoBrA) Laboratory have been using these techniques to better understand the alterations in brain anatomy that underlie the major psychoses, aging, brain development, Parkinson’s disease and Alzheimer's disease. 

Dr. Chakravarty completed his PhD at the Montreal Neurological Institute, (McGill University, Montreal, QC, Canada) and postdoctoral fellowships at Aarhus University (Aarhus, Denmark) and the University of Toronto (Canada). He also previously worked at the Allen Institute for Brain Science (Seattle) and the Centre for Addiction and Mental Health (Toronto). He is currently an assistant professor at the Douglas Institute, McGill University.