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Alexander von Lühmann

PROFILE

Alexander Von Lühmann

Over an eight-month period, contributed to the ibs-lab/cedalion repository by developing and refining neuroimaging analysis tools, focusing on data processing, visualization, and documentation. Delivered features such as advanced 3D rendering, time-series analysis, and artifact correction, leveraging Python, Jupyter Notebooks, and libraries like Matplotlib and Xarray. Enhanced solver performance and stability through algorithmic optimizations and regularization techniques, while improving onboarding with comprehensive documentation and reproducible examples. Addressed data integrity and build reliability, integrating citation management and community guidelines. The work emphasized maintainability, clear user guidance, and robust scientific computing practices, supporting both research productivity and open-source collaboration.

Overall Statistics

Feature vs Bugs

82%Features

Repository Contributions

60Total
Bugs
3
Commits
60
Features
14
Lines of code
182,488
Activity Months8

Work History

May 2026

9 Commits • 3 Features

May 1, 2026

May 2026 monthly summary for ibs-lab/cedalion. This period focused on improving citation management and documentation, tightening repository hygiene, and delivering end-user guidance. The changes enhanced traceability, onboarding, and maintainability, with concrete commits across citation handling, documentation updates, and Git hygiene.

April 2026

19 Commits • 1 Features

Apr 1, 2026

April 2026 focused on enhancing Cedalion's documentation, data integrity, and build reliability, delivering tangible business value through better onboarding, reproducibility, and contributor visibility while stabilizing CI/build processes.

June 2025

12 Commits • 2 Features

Jun 1, 2025

June 2025 monthly summary for ibs-lab/cedalion: Delivered two major features to enhance neuroimaging workflows, improve reliability, and boost research productivity. AMPD enhancements and Physio docs & examples significantly improved discoverability and usability: added a publication reference in the core physio function, introduced a heartbeat analysis notebook, refined the finger-tapping example, and updated physio docs with autosummary, improved type hints, and doc sections; included related notebook and module documentation to streamline onboarding and reproducibility. Noise mitigation in fNIRS introduced measurement_variance to estimate channel noise and enable downweighting of noisy channels; refactored unit handling, renamed global_physio_subtract to global_component_subtract, and expanded notebooks to demonstrate weighted global physiology removal and channel-variance-based artifact handling. Documentation and maintainability improvements included updated notebooks, docs, and changelog entries to ensure consistency and easier onboarding. Overall, these changes reduce analysis friction, improve data quality, and strengthen Cedalion's reliability for neuroimaging research.

May 2025

2 Commits • 2 Features

May 1, 2025

In May 2025, the team delivered two core features for ibs-lab/cedalion that advance data processing workflows and artifacts analysis, along with documentation improvements to enable reproducible results. No significant bugs were recorded; the focus was on feature delivery, quality of documentation, and strengthening round-trip data capabilities.

April 2025

11 Commits • 3 Features

Apr 1, 2025

April 2025 saw targeted delivery in ibs-lab/cedalion of enhanced neuroimaging visualization, stability-focused reconstruction, and documentation improvements. Key outcomes include animated and multi-view visualizations with XArray-backed time-series, a regularization-enabled pseudo-inverse for more stable reconstructions, and renamed/docs updates that improve reproducibility and onboarding. These changes offer clearer data interpretation, more reliable analyses, and faster researcher onboarding, while maintaining a lean, refactored codebase.

March 2025

5 Commits • 3 Features

Mar 1, 2025

March 2025 monthly summary for ibs-lab/cedalion focused on delivering user-facing capabilities and performance improvements that drive onboarding speed, reliability, and solve efficiency.

February 2025

1 Commits

Feb 1, 2025

February 2025 monthly summary for ibs-lab/cedalion: Focused on improving notebook documentation reliability by fixing a broken GUI image link in a notebook. This change corrects the image path to ensure the image displays properly, improving documentation accuracy and user guidance with minimal user friction. The work enhances overall documentation quality and maintainability, aligning with product onboarding and support goals.

November 2024

1 Commits

Nov 1, 2024

Month 2024-11 — ibs-lab/cedalion: Documentation stability and onboarding focus. Delivered a critical bug fix to the README that restores access to the example notebooks, improving user experience and reducing potential support queries. No new features were released this month; instead, the emphasis was on ensuring existing resources are accurate and actionable for users and contributors.

Activity

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Quality Metrics

Correctness93.6%
Maintainability94.0%
Architecture92.6%
Performance90.4%
AI Usage23.0%

Skills & Technologies

Programming Languages

CSSJSONJupyter NotebookMakefileMarkdownPythonRSTYAMLreStructuredTextrst

Technical Skills

3D RenderingAI integrationAlgorithm ImplementationCI/CDCode RefactoringDOTData AnalysisData CleaningData ReconstructionData VisualizationDocumentationExample DevelopmentGIF GenerationImage ProcessingImage Rendering

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ibs-lab/cedalion

Nov 2024 May 2026
8 Months active

Languages Used

MarkdownJupyter NotebookPythonJSONMakefileRSTreStructuredTextrst

Technical Skills

DocumentationLinear AlgebraNumerical ComputingOptimization3D RenderingCode Refactoring