Lukas Heumos
Senior Solution Architect Genomics at scverse
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolLukas Heumos is a Senior Solution Architect in genomics with nine years of experience building research-grade bioinformatics software and production-ready ML pipelines. He co-founded scverse, grew it into a 25+ core team and 1,000+ member community, and continues to steward widely used single-cell tools such as scanpy and scvi-tools. His PhD work at Theis and Schiller labs produced several influential open-source frameworks (ehrapy, pertpy) and best-practice resources cited in high-impact journals, reflecting a strong bridge between methods development and reproducible tooling. A prolific open-source contributor to projects like OpenMS and MultiQC, he combines low-level mass-spectrometry optimizations with high-level data visualization and integration expertise. Based in Munich, he pairs distributed computing and software-architecture chops with hands-on research mentorship and an unusual knack for turning exploratory EHR and single-cell analyses into maintainable frameworks.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Bioinformatics, Master's degree, Bioinformatics at University of TübingenDoctor of Philosophy - PhD, Bioinformatics and Machine Learning, Doctor of Philosophy - PhD, Bioinformatics and Machine Learning at Technical University of Munich
Stackoverflow
111reputation
2kreached
2answers
5questions
Github Skills (31)
data-visualizations10
algorithms10
c-language10
python10
statistics10
data-visualisation10
mass-spectrometry10
statistic10
data-preprocessing10
openms10
cplus10
mu10
bioinformatics10
data-visualization10
cpp10
Programming languages (30)
Github contributions (5)
theislab/single-cell-best-practices
Aug 2021 - Jan 2023
https://www.sc-best-practices.org
Role in this project:
Data Scientist
Data ScientistContributions:124 reviews, 261 commits, 112 PRs in 1 year 5 months
Contributions summary:Lukas contributed to the development of a book and tutorial on best practices for single-cell analysis, including data preprocessing, normalization, and visualization techniques. Their contributions involved creating a plot comparing different feature selection methods and demonstrating several data-driven approaches for gene set enrichment analysis and integration of multimodal datasets, showcasing skills in data manipulation, statistical analysis, and data visualization. The user's contributions are directed towards presenting analysis examples.
in-progresssingle-cellwork-in-progressrna-seq
OpenMS/OpenMS
Apr 2018 - May 2018
The codebase of the OpenMS project
Role in this project:Backend Developer
Backend DeveloperContributions:44 commits, 10 PRs, 31 comments in 1 month
Contributions summary:Lukas primarily focused on improving the `MassTrace` class within the OpenMS project. Their contributions involved fixing calculations for the Full Width at Half Maximum (FWHM) of mass traces, as well as refactoring and documenting the code. The user also implemented an auto mode for peak picking levels in the `PeakPickerHiRes` class and made changes to the `PeptideIndexing` module, including automatic decoy string determination, indicating a focus on mass spectrometry data analysis and feature detection.
windowsanalysesms-datalinuxc-plus-plus
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