Eric Roemmele
Data Scientist II
Greater Philadelphia United States
Summary
👤
Senior🎓
Top SchoolEric Roemmele is a data scientist with eight years of applied statistical and ML experience, currently focused on clinical safety analytics and automation. He has led cross-trial safety analyses for oncology programs at Merck, producing regulatory-ready deliverables and building internal R packages and Shiny apps (including rtfextract and safetyblindapp) to streamline blinded and unblinded safety review. Prior roles in insurance R&D saw him deploy Tweedie and gradient-boosted models for pricing and loss estimation, plus image and anomaly-detection projects. Eric holds a PhD in Statistics and combines deep theoretical interest with a practical drive to automate repetitive workflows and translate complex analyses for non-technical stakeholders. Colleagues rely on him for robust, production-ready statistical tooling that bridges research and regulated decision-making.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of KentuckyBachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at University of DaytonGithub contributions (4)
eroemm/myrepo
Jan 2018 - Jan 2018
Contributions:2 PRs, 2 pushes, 2 branches in 1 day
javascriptreactplaying
eroemm/ZIP_Research
Feb 2018 - Feb 2018
Contributions:3 pushes in 1 day
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