Hi! I am Sydney Pugh, a postdoctoral researcher in the Artificial Intelligence for Ambulatory Care Innovation (AI-4-AI) Lab at the Univeristy of Pennsylvania, where I am advised by Kevin Johnson. My research interests are in developing safe and effective medical AI systems, with emphasis on techniques to address challenges associated with real-world medical data constraints (e.g., small data, lack of ground-truth). Currently, I am working on developing a real-time multimodal AI system for early detection of cognitive decline and Alzheimer’s dementia.

I earned my Ph.D. in Computer and Information Science (CIS) at the University of Pennsylvania in August 2024, where I was advised by Insup Lee and James Weimer. My disseration explored weakly-supervised methods for rapid and cost-effective performance evaluation of medical AI systems. I also earned my M.S.E. in CIS at UPenn in 2021. Prior to that, I earned my B.S. in Applied Mathematics and Computer Science from Loyola University Maryland in 2019.

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