Jenna Reps
Director at Johnson & Johnson
Raritan, New Jersey, United States
Summary
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Senior🎓
Top SchoolJenna Reps is a Director at Johnson & Johnson with a decade of experience at the intersection of epidemiology, informatics, and machine learning, leading standardization of diagnostic and prognostic model development using observational data within the OHDSI community. She has progressed through research and leadership roles—publishing in high‑impact journals, mentoring teams, and defining best practices for prediction model development and safety applications. Jenna leads open-source software efforts (notably the PatientLevelPrediction R package and a SkeletonPredictionStudy) and builds R Shiny apps that surface hundreds of models trained on millions of patient records. With a PhD in Computer Science and a background in mathematical biology and mathematics, she combines rigorous academic training with practical tools that make complex, reproducible analytics accessible to clinical and safety stakeholders.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of NottinghamMaster’s Degree Mathematical Biology, Master’s Degree Mathematical Biology at University of Bath
Github Skills (48)
prediction-model10
shiny-server10
r-package10
r10
standardized10
sports-data10
prediction10
shiny-apps10
skeleton10
protocols10
database10
clinical-trials9
validation9
atlas9
ensembles9
Programming languages (6)
Github contributions (5)
OHDSI/OhdsiShinyModules
Jun 2021 - Dec 2022
An R package containing Shiny modules used by various OHDSI Shiny apps
Contributions:1 release, 1 review, 96 commits in 1 year 5 months
rr-packageshiny-apps
OHDSI/StudyProtocolSandbox
Oct 2015 - Aug 2021
This repository is for developing study packages for OHDSI studies. Once completed, they can be moved to the StudyProtocols repository.
Contributions:153 commits, 5 PRs, 117 pushes in 5 years 11 months
ohdsideveloping
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