UCL-CCS/EasyVVUQ
Dec 2024 – Jun 2025
4 Months active
Languages Used
PythonSQLTOMLShell
Technical Skills
Data AnalysisError HandlingMonte Carlo SimulationNumerical AnalysisNumerical MethodsPython
wouteredeling@gmail.com
PROFILE
Wouteredeling@gmail.com
Wouter Edeling contributed to the UCL-CCS/EasyVVUQ repository by enhancing uncertainty quantification workflows and modernizing project packaging. He improved Monte Carlo and Sobol sampling paths, introducing rule-based sampling and optimizing performance for robust scientific computing. Using Python and leveraging numerical methods, Wouter refactored analysis utilities to increase reliability, addressed visualization bugs for clearer sensitivity analysis, and enforced safer usage patterns. He restructured the project for maintainable distribution, updated packaging with pyproject.toml, and clarified dual licensing. His work streamlined onboarding, reduced installation friction, and enabled reproducible deployments, demonstrating depth in configuration management, packaging, and statistical analysis over a focused development period.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
12Total
Bugs
3
Commits
12
Features
5
Lines of code
28,344
Activity Months4
Your Network
6 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Focused on packaging and distribution readiness for EasyVVUQ. Key delivery: bump to version 1.2.3.1 and provide detailed packaging and uploading instructions (pip, build, twine) to improve installation reliability and distribution efficiency. These changes streamline user onboarding, reduce installation friction, and support reproducible deployments.
1 Commits • 1 Features
Jun 1, 2025June 2025: Focused on packaging and distribution readiness for EasyVVUQ. Key delivery: bump to version 1.2.3.1 and provide detailed packaging and uploading instructions (pip, build, twine) to improve installation reliability and distribution efficiency. These changes streamline user onboarding, reduce installation friction, and support reproducible deployments.
June 2025
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for UCL-CCS/EasyVVUQ: Focused on packaging modernization and licensing governance to improve distribution, maintainability, and compliance. Key outcomes include packaging restructuring (moved easyvvuq to src/easyvvuq) and pyproject.toml updates for packaging, versioning, and license references, along with introducing modular components for actions, analysis, and database interactions. Licensing policy was clarified with a dual LGPL-3.0/GPL-3.0 definition documented in pyproject.toml and propagated across commits for consistent licensing metadata. These changes reduce onboarding time, streamline CI packaging, and enable safer downstream adoption. No major bugs fixed this month; activity centered on refactor and governance. Technologies demonstrated: Python packaging (PEP 621/pyproject.toml), repository hygiene, modular architecture, and license policy governance.
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for UCL-CCS/EasyVVUQ: Focused on packaging modernization and licensing governance to improve distribution, maintainability, and compliance. Key outcomes include packaging restructuring (moved easyvvuq to src/easyvvuq) and pyproject.toml updates for packaging, versioning, and license references, along with introducing modular components for actions, analysis, and database interactions. Licensing policy was clarified with a dual LGPL-3.0/GPL-3.0 definition documented in pyproject.toml and propagated across commits for consistent licensing metadata. These changes reduce onboarding time, streamline CI packaging, and enable safer downstream adoption. No major bugs fixed this month; activity centered on refactor and governance. Technologies demonstrated: Python packaging (PEP 621/pyproject.toml), repository hygiene, modular architecture, and license policy governance.
January 2025
3 Commits
Jan 1, 2025January 2025 focused on robustness and visualization reliability for Sobol and SC analyses in UCL-CCS/EasyVVUQ. Delivered targeted fixes to improve numerical stability, data handling, and visualization clarity. These changes enhance reliability of sensitivity analyses for stakeholders and reduce maintenance overhead, by suppressing unnecessary warnings, ensuring proper NumPy array handling, and correcting heatmap visualizations.
3 Commits
Jan 1, 2025January 2025 focused on robustness and visualization reliability for Sobol and SC analyses in UCL-CCS/EasyVVUQ. Delivered targeted fixes to improve numerical stability, data handling, and visualization clarity. These changes enhance reliability of sensitivity analyses for stakeholders and reduce maintenance overhead, by suppressing unnecessary warnings, ensuring proper NumPy array handling, and correcting heatmap visualizations.
January 2025
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024: Delivered key updates to Monte Carlo and Sobol sampling paths in EasyVVUQ, delivering faster, more flexible QMC workflows while strengthening usage safety and test coverage. The work improves throughput, reliability, and developer experience for uncertainty quantification, enabling more robust experimentation in production workflows.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024: Delivered key updates to Monte Carlo and Sobol sampling paths in EasyVVUQ, delivering faster, more flexible QMC workflows while strengthening usage safety and test coverage. The work improves throughput, reliability, and developer experience for uncertainty quantification, enabling more robust experimentation in production workflows.
Activity
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Quality Metrics
Correctness90.0%
Maintainability91.6%
Architecture85.8%
Performance88.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQLShellTOML
Technical Skills
Build System ConfigurationConfiguration ManagementData AnalysisData VisualizationDistributionError HandlingModule OrganizationMonte Carlo SimulationNumerical AnalysisNumerical MethodsPackage ManagementPackagingPlottingProject StructureProject Structure Management
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