About

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 multimodal AI for predicting dementia and cognitive decline.

I earned my Ph.D. in Computer and Information Science (CIS) at the University of Pennsylvania in August 2024. 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.

News

• October 1, 2024: I started my postdoc position in the AI-4-AI Lab at UPenn!
• August 9, 2024: I officially earned my Ph.D.!
• June 19, 2024: Our paper “Automating Weak Label Generation for Data Programming with Clinicians in the Loop” was presented at the IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE24).
• May 30, 2024: Our ICCPS24 paper “Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems” was recognized as a Best Paper Award finalist!
• May 16, 2024: I presented our paper “Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems” at the 15th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS24)!
• April 15, 2024: I successfully defened my dissertation!