Xiaosi Gu

Xiaosi Gu, PhD

About Me

Dr. Xiaosi Gu currently Associate Professor in Psychiatry and Neuroscience, and Director of Center for Computational Psychiatry at Mount Sinai. After receiving a dual degree in Psychology and Economics from Peking University in Beijing, Dr. Gu moved to New York City to pursue a Ph.D. in Neuroscience at the Icahn School of Medicine at Mount Sinai. Dr. Gu then completed her postdoctoral training in computational psychiatry at Virginia Tech and the Wellcome Trust Centre for Neuroimaging, University College London (UCL). During her time in London, she also set up and has since been directing the world’s first computational psychiatry course at UCL. Before joining Sinai, Dr. Gu previously held faculty positions at the University of Texas, Dallas and UT Southwestern Medical Center.

Dr. Xiaosi Gu is one of the foremost researchers in the area of computational psychiatry. Her research examines the neural and computational mechanisms underlying human beliefs, emotions, decision making, and social interaction in both health and disease, through a synthesis of neuroscience, cognitive science, and behavioral economics. Her lab has also recently started to use human intracranial recording techniques to examine the neuroelectricl and neurochemical substrates of high order cognition.

Currently on-going research projects in Dr. Gu's lab include: 1) drug and food craving; 2) impulsivity and compulsitivty; 3) social deficits across health and disorders, including autism spectrum disorders, personality disorders, and misophonia; 4) the neurochemical substrates of social interactions. 

PubMedhttps://www.ncbi.nlm.nih.gov/myncbi/1tI7lobE31ak6/bibliography/public/  

Laboratory Website: https://www.neurocpu.org

 

Language
English
Position
ASSOCIATE PROFESSOR | Psychiatry, ASSOCIATE PROFESSOR | Neuroscience
Research Topics

Addiction, Brain Imaging, Computational Neuroscience, Neural Networks, Neuroscience, Psychiatry

Multi-Disciplinary Training Areas

Artificial Intelligence and Emerging Technologies in Medicine [AIET], Neuroscience [NEU]