Please send a cover letter describing your interests, relevant experience, and specific fit for our lab and this project, a CV, and three names of references to Pedro.PinheiroChagas@ucsf.edu.
The NeuroAI Lab at UCSF, led by Assistant Professor Pedro Pinheiro-Chagas, is seeking applications for a postdoctoral fellow to develop clinical agentic AI systems for neurodegenerative disease diagnosis and care. The successful applicant will join a multidisciplinary team combining expertise in artificial intelligence, clinical neurology, neuropsychology, and radiology, aiming to create next-generation clinical AI tools that affect real-world practice. The primary project will extend the MAC Copilot, an agentic AI system that integrates large language models, discriminative/predictive machine learning, and clinician-facing interfaces to synthesize multimodal data—including clinical notes, neuropsychology, and neuroimaging—for accurate neurodegenerative disease diagnosis. In collaboration with world-class specialists Bruce L. Miller, Katherine Possin, Maria Luisa Gorno-Tempini, and Bill Seeley, M.D. from the UCSF Memory and Aging Center, and Andreas Rauschecker from the Radiology Department, this highly collaborative initiative offers comprehensive mentorship and direct translational impact. Supported by the UCSF Catalyst Award, the MAC Copilot project is focused on academic innovation with direct translational potential. The appointed fellow will spearhead the development, evaluation, and optimization of clinical agentic AI workflows, elaborate dynamic prompt engineering (e.g., RAG, knowledge graph integration), and implement robust evaluation protocols using real and simulated clinical data. Responsibilities include improving accuracy and interpretability, automating multimodal data processing, developing research and production-ready software, and maintaining full compliance with data security and regulatory standards (HIPAA).