Xiaosi Gu

Dr. Xiaosi Gu is Professor of Psychiatry and Biomedical Informatics & Data Science, and Director of the Computational Psychiatry Unit at Yale School of Medicine. She received her Ph.D. in Neuroscience from Icahn School of Medicine at Mount Sinai, followed by postdoctoral training at Virginia Tech and the Wellcome Trust Centre for Neuroimaging at University College London. A recipient of the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE), Dr. Gu is internationally recognized for her research in the field of computational psychiatry, which seeks to understand how humans form beliefs and make decisions and how these processes break down in psychiatric disorders such as addiction, depression, autism, amongst others. Continuously funded by NIH and private foundations, her work integrates computational modeling, cognitive neuroscience, neuroimaging, and human intracranial recording methods. Dr. Gu has published widely in leading scientific journals such as Nature Mental Health, Nature Human Behavior, JAMA Psychiatry, PNAS, amongst many others. She is a Co-Director for the Society for Computational Psychiatry, Editor-in-Chief of the journal Computational Psychiatry, and a Reviewing Editor at eLife. Dr. Gu was the organizer for the London Computational Psychiatry Course, which was a precursor to the Computational Psychiatry Conference, where she is currently a Steering Committee Member. Dr. Gu has also served as a member of the NIMH Board of Scientific Counselors, a Scientific Advisor to the Wellcome Trust and Simon’s Foundation, Co-President of the Society for Computational Psychiatry, and a grant reviewer for numerous organizations such as the NIH, NSF, the Wellcome Trust, Medical Research Council (UK), and DFG (Germany). Outside the lab, Dr. Gu is a dedicated advocate for mental health awareness, regularly speaking at public forums including a TEDx talk in 2018.