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)
programming-language10
data-manipulation10
literate-programming10
r10
mahjong10
dplyr10
mixed-models10
science10
julia10
r-package10
data-science10
pandoc10
rmarkdown10
clinical-trials10
machine-learning10
Programming languages (18)
Github contributions (5)
kkmann/AdaptiveDesigns
Aug 2015 - Nov 2016
Contributions:1 release, 150 pushes, 10 branches in 1 year 2 months
kkmann/workshop-r-swe
Oct 2022 - Feb 2023
Website and materials of the workshop on GSWEP4R
Contributions:4 reviews, 93 commits, 21 PRs in 3 months
workshop
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