The UCSF NeuroAI Lab adopts a human-centered approach to developing advanced AI systems designed to optimize the discovery, diagnosis, and care of neurodegenerative diseases. To this end, we combine generative AI with traditional machine learning algorithms and leverage a wide array of multimodal data sources, including unstructured clinical notes, neuroimaging, genomics and proteomics, neuropsychological assessments, electronic health records, and more. We focus on developing systems that exhibit complex reasoning, emphasize model interpretability, are grounded and verifiable in scientific literature, and uphold rigorous data security standards in full compliance with institutional governance.➔ Research
Human symbolic cognition. We study the development and decline of symbolic systems like mathematics and written language, as well as self-referential reasoning. We combine electrophysiology, neuroimaging, psychophysics, neuropsychology, and electrical stimulation to study the processing stages and representational codes underlying cognitive operations.➔ Research
The NeuroAI Lab operates at the UCSF Memory and Aging Center-Department of Neurology - Weill Institude for Neuroscience. We are also affiliated with the Bakar Computational Health Sciences Institute and the Center for Intelligent Imaging (ci2).