Erin Schnellinger is a biostatistician with a decade of experience applying statistical methods to epidemiology, clinical trials, and biomedical engineering problems. She currently supports transplant research at UNOS and previously developed dynamic prediction and causal inference models as a doctoral research assistant at the University of Pennsylvania. Proficient in SAS, R, and MATLAB, she has translated complex clinical data into regulatory-ready analyses and research tools across academia, industry, and medical centers. Her work spans frequentist and Bayesian simulation studies, sophisticated causal methods for unblinded trials, and practical data-visualization diagnostics for time-varying confounding. Erin’s background in biomedical engineering and hands-on signal-processing research gives her a rare blend of clinical-statistical rigor and computational modeling skill. She has a track record of turning methodological research into IRB-approved protocols and implementable analytics that advance patient-centered studies.
10 years of coding experience
10 years of employment as a software developer
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
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
Master's of Science, Biostatistics, Master's of Science, Biostatistics at Harvard T.H. Chan School of Public Health
English, American Sign Language, french sign language
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