The missions of the Computational Clinical Science (CCS) Lab directed by Dr. Ahn are to (1) elucidate the neurocognitive mechanisms of decision-making using computational approaches and (2) develop transdiagnostic phenotypes and cost-effective markers of psychiatric disorders, especially addictive disorders. To accomplish the missions, we use decision neuroscience as a framework to understand both normative and abnormal behavior, computational modeling to delineate the cognitive processes responsible for decision-making deficits, neuroimaging (e.g., fMRI) methods to probe their neural substrates, and cutting-edge machine learning algorithms to maximize prediction accuracy and generalizability.