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Xiaosi Gu

Associate Professor at Icahn School of Medicine at Mount Sinai

Xiaosi Gu is an accomplished researcher in Computational Psychiatry and Neuroeconomics, specializing in exploring the neural and computational mechanisms behind human beliefs, decision-making, and social interactions in both healthy individuals and those with mental illnesses. His work involves utilizing various techniques such as functional magnetic resonance imaging (fMRI), neuropsychology, pharmacological challenges, and computational modeling to advance our understanding of these complex processes.

With a Ph.D. from Icahn School of Medicine at Mount Sinai and a B.S. from Peking University, Xiaosi Gu has a solid academic foundation. He currently serves as an Associate Professor at Icahn School of Medicine at Mount Sinai and has previously held positions at reputable institutions like the University of Texas at Dallas and the Wellcome Trust Centre for Neuroimaging, UCL.

Passionate about democratizing neurotechnology and computational methods for psychiatry, Xiaosi Gu created and leads the London Computational Psychiatry Course. His research program aims to elucidate the neurocomputational mechanisms of human behavior and improve mental health outcomes.

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Location

New York, New York