Malte Luecken
PhD Candidate
Summary
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RockstarMalte Luecken is a PhD candidate and postdoctoral researcher in the Theis lab with eight years of experience at the intersection of machine learning and single-cell genomics. He contributes actively to high-impact open-source projects documenting and demonstrating current best practices for single-cell RNA-seq analysis, including hands-on work on tutorials, integration notebooks, plotting scripts, and pipeline timing. His strengths lie in translating complex computational methods into clear, reproducible workflows and user-facing documentation that improve accessibility for researchers. Based in Germany, he blends rigorous research with practical data-science engineering, from batch correction and clustering to trajectory inference. Notably, his documentation-driven contributions enhance user experience in widely used community resources, reflecting a rare mix of technical depth and communication skill.
8 years of coding experience
Github Skills (19)
markdown10
textbook10
python10
storybook10
r10
user-manual10
docbook10
markdown-it10
rna-seq10
bioinformatics10
scanpy10
documentation10
data-analysis10
matplotlib9
seaborn9
Programming languages (9)
Github contributions (5)
theislab/single-cell-tutorial
Nov 2018 - Jun 2021
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Role in this project:
Data Scientist
Data ScientistContributions:4 reviews, 71 commits, 7 PRs in 2 years 7 months
Contributions summary:Malte contributed significantly to the single-cell RNA-seq data analysis pipeline, adding case studies and plotting scripts for visualizing the data. The user provided detailed timing information for the pipeline, improved code documentation, and added comments to further clarify the methodology. Their contributions focused on demonstrating best practices in single-cell analysis, including pre-processing steps, batch correction, clustering, and trajectory inference.
rna-seq-analysisbioinformaticsseqrna-seqsingle-cell-rna-seq
theislab/single-cell-best-practices
Aug 2022 - Nov 2022
https://www.sc-best-practices.org
Role in this project:Technical Writer
Technical WriterContributions:3 reviews, 8 commits, 1 PR in 2 months
Contributions summary:Malte primarily contributed to the documentation within the repository. Their commits involve modifying and updating the content of the `integration.ipynb` file, including adding text, references, and links. These changes indicate a focus on improving the clarity and accuracy of the documentation related to single-cell RNA-seq data integration, specifically in relation to the best practices detailed in the tutorial. Further updates included adding a figure and cross-references to relevant documentation, indicating a focus on enhancing the user experience of the documentation.
in-progresssingle-cellwork-in-progressrna-seq
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