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 clinical data. 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 is directed by Pedro Pinheiro-Chagas, PhD, and operates at the UCSF Fein Memory and Aging Center in the Department of Neurology of the Weill Institude for Neuroscience. We are also affiliated with the Bakar Computational Health Sciences Institute, Center for Intelligent Imaging (ci2), and UCSF Dyslexia Center