Erin Schnellinger is a biostatistician and epidemiology researcher applying rigorous quantitative methods to clinical data and biomedical engineering challenges. With ten years of experience, she leads data analytics and modeling efforts using SAS, R, and MATLAB in both academic and applied settings. Her work spans dynamic prediction modeling, causal inference in vaccine trials, and patient satisfaction studies, bridging methodological development with real-world impact. Currently at UNOS, she develops and applies statistical models to support organ transplantation research and policy. Her doctoral training includes a PhD in Epidemiology from the University of Pennsylvania and an MS in Biostatistics from Harvard T.H. Chan School of Public Health, complemented by a Biomedical Engineering degree from the University of Rochester. Erin is known for a strong work ethic and the ability to thrive in team-driven research as well as independent projects.
10 years of coding experience
10 years of employment as a software developer
Master's of Science, Biostatistics, Master's of Science, Biostatistics at Harvard T.H. Chan School of Public Health
Doctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at University of Pennsylvania School of Medicine
Biomedical Engineering, Biomedical Engineering at University of Rochester
Studies in French Sign Language and Deaf Culture (Summer 2012), Studies in French Sign Language and Deaf Culture (Summer 2012) at Leonard De Vinci University
English, American Sign Language, french sign language
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