Research Overview

The MIND Lab’s mission is to improve mental healthcare through early detection and personalized treatment of psychiatric illness. By leveraging multimodal data and advanced machine learning, our research aims to parse the heterogeneity within and across psychiatric disorders, uncovering the neural and behavioral mechanisms that drive individual differences. Through this work, we seek to enable more accurate prediction, targeted interventions, and better outcomes for individuals at risk for or living with neuropsychiatric conditions.

Dr. Shalaila S. Haas serves as the lab director and the lead project manager of PREDiCTOR, a NIMH-funded U01 study that aims to develop individualized clinical signatures for predicting key mental health outcomes—such as treatment disengagement, ER visits, and hospitalizations—by analyzing behavioral data derived from AV recordings of clinical interviews, electronic health records (EHR), and smartphones in young, help-seeking individuals. Using advanced computational modeling and large language models, the study leverages multimodal data to enhance prognostic accuracy and support equitable, real-time decision-making in psychiatry.

To connect research findings with education, Dr. Haas co-directs the Translational Neuroimaging, an international initiative focused on disseminating state-of-the-art computational and neuroimaging tools to researchers at all career stages. In this role, she helps lead efforts to democratize access to advanced methods in brain research, fostering a collaborative and interdisciplinary community dedicated to accelerating progress in mental health science.