معرفی
Kiyohito Iigaya is an Assistant Professor at the Department of Psychiatry at Columbia University, affiliated with the Neurobiology and Behavior Program, Center for Theoretical Neuroscience, and Mortimer B. Zuckerman Mind Brain Behavior Institute. He is also connected to the Health Analytics, Computing Systems for Data-Driven Science, and Computational Social Science centers.
- Ph.D. in Physics, Columbia University (advisor: Stefano Fusi)
- Postdoctoral training at University College London (Gatsby Computational Neuroscience Unit, Max Planck Centre for Computational Psychiatry and Ageing) and Caltech (advisor: John O’Doherty)
The Iigaya lab specializes in computational psychiatry, studying computational principles of learning and decision-making in mental disorders. They integrate reinforcement learning models, neural circuit models, and empirical research (e.g., fMRI) through collaborations with clinical and basic neuroscience labs.
Kyo’s research bridges algorithmic and neural implementation levels of analysis, focusing on mental health applications. His work aligns with data-driven science and computational social science.
Key affiliations include:
- Neurobiology and Behavior Program
- Center for Theoretical Neuroscience
- Mortimer B. Zuckerman Mind Brain Behavior Institute
- Health Analytics
- Computing Systems for Data-Driven Science
- Computational Social Science
His academic journey combines physics, theoretical neuroscience, and translational psychiatry research. The lab’s website (iigayalab.com) provides further details.
