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Xiaosi Gu is a Professor of Psychiatry and Biomedical Informatics & Data Science at Yale School of Medicine, where he also serves as the Director of the Computational Psychiatry Unit. He received his Ph.D. in Neuroscience from the Icahn School of Medicine at Mount Sinai and completed postdoctoral training at Virginia Tech and the Wellcome Trust Centre for Neuroimaging at University College London. Recognized for his significant contributions to the field of computational psychiatry, Dr. Gu's work seeks to understand how humans form beliefs and make decisions and how these processes can break down in psychiatric disorders such as addiction, depression, and autism. His research integrates computational modeling, cognitive neuroscience, neuroimaging, and human intracranial recording methods and has been continuously funded by the National Institutes of Health and private foundations. Dr. Gu has published widely in leading scientific journals and has held prominent academic roles within various scientific societies, including Co-Director of the Society for Computational Psychiatry. He is also dedicated to mental health awareness and has spoken at public forums, including a TEDx talk in 2018.
GRE is optional for PhD applicants. TOEFL speaking scores below 26 or IELTS speaking below 7.5 may require summer English training.