I am an Assistant Professor in the Department of Psychiatry, affiliated with the Center for Theoretical Neuroscience and the Zuckerman Institute. Our lab aims 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, we 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). We test our models' predictions in our empirical studies with human participants (e.g., fMRI) and through close collaborations with basic and clinical neuroscience/psychiatry laboratories.