Kevin Kunzmann
Principal Methods Statistician
Heidelberg, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolKevin Kunzmann is a Principal Methods Statistician based in Heidelberg with 11 years of experience applying rigorous biostatistical methods across industry and academia. He holds a summa cum laude doctorate in Medical Biometry and advanced degrees in Mathematics from Heidelberg University, blending deep theoretical training with practical trial- and research-focused work. After research roles at the University of Heidelberg and the MRC Biostatistics Unit, he now shapes methods strategy at Boehringer Ingelheim, translating complex designs and analyses into robust, regulatory-ready solutions. Known for bridging mathematical rigor and applied clinical research, he brings a rare combination of academic excellence and pharmaceutical industry impact.
11 years of coding experience
6 years of employment as a software developer
Doctor's Degree, Medical Biometry, Summa cum laude, Doctor's Degree, Medical Biometry, Summa cum laude at Heidelberg University
Github Skills (200)
knitr10
linear-models10
mixed-models10
julia10
data-science10
distributions10
grammar10
programming-language10
literate-programming10
r10
integer10
numerical10
r-package10
rmarkdown10
machine-learning10
Programming languages (18)
Github contributions (5)
kkmann/quick-and-not-dirty-report
Nov 2020 - Nov 2020
Contributions:60 commits, 22 pushes, 1 branch in 2 days
Boehringer-Ingelheim/oncomsm
Jan 2022 - Dec 2022
Bayesian multi-state models for the analysis of oncology trials
Contributions:2 releases, 23 reviews, 336 commits in 10 months
trialsbayesianoncology
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