Jenna Reps
Director at Johnson & Johnson
Raritan, New Jersey, United States
Summary
👤
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 (69)
prediction10
shiny-apps10
shiny10
atlas10
sampling10
sports-data10
data-model10
skeleton10
database10
r-package10
protocols10
shiny-server10
machine-learning10
r9
validation9
Programming languages (6)
Github contributions (5)
OHDSI/PatientLevelPredictionModule
Oct 2022 - Aug 2024
[Under development] A module wrapper around the PatientLevelPrediction package
Contributions:8 releases, 17 pushes, 2 branches in 1 year 10 months
strategus-module
OHDSI/ShinyDeploy
Dec 2018 - Oct 2022
Shiny apps in this repository will be automatically deployed to the OHDSI Shiny server.
Contributions:327 commits, 23 PRs, 249 pushes in 3 years 10 months
shiny-serverohdsishiny-appsshinydeployed
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