Summary
Jenna Young is a data scientist and biomedical informaticist with a decade of experience applying machine learning and medical imaging methods to clinical problems, currently driving data science at Memorial Sloan Kettering. She combines deep technical fluency in Python, Linux, and imaging toolchains with a PhD in Biomedical Informatics and a track record of translating unstructured clinical reports into curated datasets and quantitative imaging phenotypes. Her work spans neuroimaging pipelines, lightweight simulators, and production-minded ML for sleep and pediatric brain growth charts, including a medRxiv preprint and multiple award-winning publications. Skilled at cross-functional collaboration, she has led data curation programs, onboarded teams, and liaised with honest brokers to scale access to deidentified clinical data. Outside research, she contributes to open engineering practices and balances rigorous technical work with community-driven interests like fundraising and creative hobbies.
10 years of coding experience
10 years of employment as a software developer
Master’s Degree Electrical Engineering, Master’s Degree Electrical Engineering at Drexel University
Doctor of Philosophy - PhD Biomedical Informatics, Doctor of Philosophy - PhD Biomedical Informatics at University of Pittsburgh School of Medicine
English