Jessilyn Dunn is a Principal Investigator and Assistant Professor at Duke University with a decade of experience building tools and infrastructure for integrating multi-modal biomedical data to enable precision approaches for early disease detection and prevention. She leads the BIG IDEAs Lab, applying statistical and computational methods to fuse wearables, mobile health, multi-omics, and electronic health record data into predictive models. Trained as a biomedical engineer with deep wet-lab and bioinformatics roots—from cardiovascular epigenomics to NGS pipeline work—she bridges molecular biology and longitudinal digital phenotyping. Her work emphasizes translation: scalable data frameworks that support personalized intervention and real-world clinical utility. Notably, she combines hands-on experimental insight with reproducible computational pipelines, an uncommon pairing that strengthens both model interpretability and biological relevance.
10 years of coding experience
15 years of employment as a software developer
Women's Technology Program, Women's Technology Program at Massachusetts Institute of Technology
Doctor of Philosophy (PhD), Biomedical Engineering, Doctor of Philosophy (PhD), Biomedical Engineering at Georgia Institute of Technology
Doctor of Philosophy (PhD), Biomedical Engineering, Doctor of Philosophy (PhD), Biomedical Engineering at Emory University
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