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Sarah N. Dudgeon, MPH

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About

Biography

Sarah Dudgeon is a PhD Candidate in the Computational Biology and Bioinformatics combined program at Yale University. At Yale, she investigates real world data applications in quantum machine learning in the Schulz lab. She also studies graph network applications to optimization problems in healthcare. She received her MPH from Johns Hopkins Bloomberg School of Public Health specializing in Epidemiology and Biostatistics and BS from University of Michigan in Kinesiology with minor in Engineering. Dudgeon was a founding member of the FDA's Digital Health program regulating software as a medical device. At the Agency, she specialized in image analysis for digital pathology, V&V methods, and data format standardization.

Education & Training

MPH
Johns Hopkins Bloomberg School of Public Health, Epidemiology, Biostatistics
BS
University of Michigan

Research

Research at a Glance

Yale Co-Authors

Frequent collaborators of Sarah N. Dudgeon's published research.

Publications

2023

2022

2021

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