Markus Meier

Staff Software Engineer at Google

Munich, Bavaria, Germany
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Summary

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Senior
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Top School
Markus Meier is a Staff Software Engineer in Munich with a decade of experience bridging computational biology research and production-grade engineering. He holds a PhD in Computational Biology and moved from developing sensitive protein- and DNA-motif discovery tools in top research labs to shipping reliable AI and multi-robot coordination systems in industry. At Google he progressed from Software Engineer to Staff, bringing strengths in Python and C++ as well as in testing and integration to scale complex systems. His background includes configuring large Hadoop-based data pipelines and contributing to the well-known HHsuite project, reflecting a disciplined focus on code quality and reproducible science. Colleagues rely on him for translating statistical models into maintainable services and for improving system stability in safety-critical robotics stacks.
code10 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Computational Biology, Doctor of Philosophy (Ph.D.) Computational Biology at Ludwig-Maximilians-Universität München
bookMaster of Science (M.Sc.) Bioinformatics, Master of Science (M.Sc.) Bioinformatics at Technical University of Munich
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Github Skills (6)

flake10
python10
bioinformatics9
text-align6
text-alignment6
cpp4

Programming languages (4)

ShellC++CPython

Github contributions (5)

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soedinglab/hh-suite

Aug 2015 - Jul 2017

Remote protein homology detection suite.
Role in this project:
userBackend Developer
Contributions:4 releases, 136 commits, 16 PRs in 1 year 11 months
Contributions summary:Markus primarily contributed to the codebase by performing flake8 checks and addressing identified style issues. They made several commits focusing on linting Python scripts, specifically within the scripts directory. These changes suggest a focus on code quality, consistency, and adherence to coding standards, likely within a backend development context, aligning with the repository's description as a protein homology detection suite.
simdcppprofile-searchviterbialignment
soedinglab/PEnG-motif

Nov 2016 - Aug 2017

PEnG-motif is an open-source software package for searching statistically overrepresented motifs (position specific weight matrices, PWMs) in a set of DNA sequences.
Contributions:111 commits, 21 pushes, 1 branch in 9 months
positionmatricesdnadna-sequencesmotifs
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Markus Meier - Staff Software Engineer at Google