Kyo Iigaya is an Assistant Professor at the Department of Psychiatry at Columbia University. He is also affiliated with Neurobiology and Behavior Program, Center for Theoretical Neuroscience, and Mortimer B. Zuckerman Mind Brain Behavior Institute.
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The Iigaya lab focuses on computational psychiatry. The goal is to identify computational principles underlying learning and decision-making behavior and inform our understanding of mental disorders by studying variations in their neural realization (computational psychiatry). To this end, they bridge computational models that target various levels of analysis, including the algorithms (e.g., reinforcement learning models) and their neural implementations (e.g., neural circuit models). They test their models’ predictions in our empirical studies with human participants (e.g., fMRI) and through close collaborations with basic and clinical neuroscience/psychiatry laboratories.

Kyo received his Ph.D. in physics from the Physics Department and the Center for Theoretical Neuroscience at Columbia (thesis advisor: Stefano Fusi). Kyo was a postdoc at University College London (the Gatsby Computational Neuroscience Unit and the Max Planck Centre for Computational Psychiatry and Ageing. advisor: Peter Dayan, Ray Dolan) and Caltech (advisor: John O’Doherty). ​