Hi! I am Sydney Pugh, a postdoctoral researcher in the Artificial Intelligence for Ambulatory Care Innovation (AI-4-AI) Lab at the University of Pennsylvania, where I am advised by Kevin Johnson. I am also a Penn AI Fellow and a PennAITech Innovation Fellow. My research focuses on developing trustworthy, interpretable, and user-centered AI tools that can move from development into real clinical use. I am particularly interested in methods that hold up under real-world data constraints, such as small datasets and limited ground truth, and in designing AI systems around the needs of the clinicians and patients who use them.

Currently, I lead the development of WATCH-SS, an explainable AI tool that screens for cognitive impairment from patient speech. My work on WATCH-SS spans model development and is now moving toward clinical validation and integration into primary care workflows. I also contribute to projects on chatbots for primary care and ethical oversight of clinical multi-agent AI systems.

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 dissertation 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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