Stephan Schiffels
Research Group Leader at Max-Planck-Institute for Evolutionary Anthropology
Leipzig, Saxony, Germany
Summary
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Senior🎓
Top SchoolStephan Schiffels is a research group leader specializing in population genetics and computational methods for analysing ancient and modern genomic data, currently based at the Max Planck Institute for Evolutionary Anthropology in Leipzig. With a PhD in Physics (University of Cologne) and 13 years’ experience across leading institutions including the Wellcome Sanger Institute and the Max Planck Institute for the Science of Human History, he bridges quantitative theory and large-scale genomic inference. He leads method development that reconstructs human demographic history from ancient DNA, combining statistical modelling, software engineering and high-throughput data analysis. His background in physics informs a rigorous, model-driven approach to problems often framed by noisy, sparse data. Colleagues know him for turning complex population-genetic questions into reproducible computational pipelines that scale to genome-wide datasets. He frequently works at the interface of archaeology and genomics, translating archaeological questions into testable genetic hypotheses.
13 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Cologne
Github Skills (87)
package-management10
toolbox10
structural-variation10
data-repository10
bioconda10
genome10
conda10
standardization10
fusion10
bioinformatics10
population-genetics10
sequential10
union9
modular9
genetic9
Programming languages (13)
Github contributions (5)
stschiff/sequence-formats
Sep 2017 - Feb 2025
File Format specs for Rarecoal
Contributions:4 PRs, 101 pushes, 4 branches in 7 years 6 months
file-formatdata-formatfastaspecs
Schiffels-Popgen/popgen_course
May 2019 - Sep 2022
A course with Jupyter Notebooks for Computational Population Genetics
Contributions:11 commits, 1 PR, 13 pushes in 3 years 4 months
pythongeneticsjupyter-notebookpopulation-geneticsnotebooks
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