The Computational Neuroscience Laboratory (CNSLAB) aims to identify biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders. The biomedical phenotypes are discovered by unbiased, machine learning-based searches across biological, neuroimaging, and neuropsychological data.

The multidisciplinary research team focuses on MRI studies of substance abuse, sleep, HIV, and adolescent brain development. The impact of the COVID-19 pandemic on adolescent brain development is a recent interest of ours. Imaging studies are performed on MR imaging systems at SRI and in collaboration with other centers, such as those being part of the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA). Data curation and analysis is based on the software platform Scalable Informatics for Biomedical Imaging Studies (SIBIS).

The research is supported by funding from the National Institutes of Health (in particular NIAAA), Stanford Institute for Human-centered Artificial Intelligence (HAI) AWS Cloud Credit, and private donations.