Associate Professor of Psychiatry; Director, Division of Neurocognition, Neurocomputation, and Neurogenetics (N3), Psychiatry
Dr. Anticevic trained in Clinical Psychology and Cognitive Neuroscience at Washington University in St. Louis where he trained with Drs. Deanna Barch and David Van Essen. Following graduate training, Dr. Anticevic completed his internship in Clinical Neuropsychology at Yale University. After internship, he joined the Yale University Department of Psychiatry as research faculty while concurrently serving as the Administrative Director for the Center for the Translational Neuroscience of Alcoholism. Subsequently, he was appointed as an Assistant Professor of Psychiatry and Psychology at the Yale University School of Medicine, where he directs a clinical neuroimaging laboratory focused on severe mental illness. Dr. Anticevic is a recipient of the NARSAD Young Investigator Award, the International Congress of Schizophrenia Research Young Investigator Award, the NIH Director's Early Independence Award, the NARSAD Independent Investigator Award and the Klerman Prize for Exceptional Clinical Research. He currently serves as the Director of the Division of Neurocognition, Neurocomputation, and Neurogenetics (N3) at Yale School of Medicine.
His group's research focus is centered on computational and cognitive neuroscience of mental illness. Specifically, Dr. Anticevic's group is interested in characterizing neural mechanisms involved in higher order cognitive operations, such as working memory, as well as their interaction with neural systems involved in affective processes, with the aim of understanding how these computations may go awry in the context of severe mental illness . Methodologically, his group uses the combination of task-based, resting-state, pharmacological multi-modal neuroimaging, as well as computational modeling approaches to map neural alterations that lead to poor mental health outcomes. The overarching goal of the group is to develop neurobiologically principled and computationally grounded mapping between neural and behavioral levels of analyses in people to inform personalized and rational treatment design for mental health symptoms.