Heidi Seibold
Co Executive Director at Digital Research Academy
Munich, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolHeidi Seibold is a data scientist and open science advocate with a decade of experience building reproducible research practices across academia and industry. She co-founded and now co-leads the Digital Research Academy in Munich, translating her PhD in Biostatistics and prior research roles into hands-on training, consulting, and conference moderation. Her background spans leading an Open AI in Health group, statistical consulting, and doctoral work on model-based recursive partitioning for personalized medicine, giving her a strong blend of methodological depth and practical teaching expertise. Known for promoting open data and reproducibility, she combines entrepreneurial drive with a researcher’s rigor to help teams adopt transparent, scalable data science workflows. An understated strength is her ability to bridge technical audiences and organizers, turning complex statistical methods into accessible training and community initiatives.
10 years of coding experience
4 years of employment as a software developer
Ludwig Maximilian University of MunichDoctor of Philosophy (PhD), Biostatistics, Doctor of Philosophy (PhD), Biostatistics at University of ZurichStatistics, Statistics at Universidad Complutense de Madrid
German, Spanish, English
Github Skills (192)
multilabel-classification10
datasets10
regression10
r-language10
variable-selection10
clustering10
r10
statistics10
mlr10
mixed-models10
science10
open-science10
unconf10
r-package10
data-science10
Programming languages (15)
Github contributions (5)
BERD-NFDI/ADA-Oeffentliche-Verwaltung-Website
Aug 2023 - Nov 2024
ADA Bayern Website
Contributions:1 review, 8 PRs, 55 pushes in 1 year 3 months
HeidiSeibold/HeidiSeibold.github.io
Sep 2015 - May 2017
Contributions:149 pushes, 1 branch in 1 year 8 months
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