UCL-CCS/EasyVVUQ
Apr 2025 – Jun 2025
3 Months active
Languages Used
PythonTOML
Technical Skills
Dependency ManagementMonte Carlo MethodsRefactoringSoftware EngineeringLibrary MaintenanceNumerical Analysis
Bartosz Bosak
PROFILE
Bartosz Bosak
Worked on the UCL-CCS/EasyVVUQ repository to enhance the reliability and maintainability of scientific computing workflows for uncertainty quantification. Focused on Python-based dependency management, refactoring, and robust error handling, the work included upgrading core libraries for compatibility, simplifying the MCSampler API, and aligning internal components with upstream changes. Addressed key issues in data analysis pipelines by improving the handling of incomplete output distributions and refining bootstrapping methods for sensitivity analysis. These contributions reduced maintenance overhead, improved the accuracy of numerical analyses, and ensured smoother upgrades, supporting production-ready data pipelines and more dependable results in scientific software environments.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
6Total
Bugs
3
Commits
6
Features
2
Lines of code
218
Activity Months3
Your Network
6 peopleWork History
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for UCL-CCS/EasyVVUQ focusing on reliability improvements in data analysis pipelines and robust handling of incomplete data scenarios.
1 Commits
Jun 1, 2025June 2025 monthly summary for UCL-CCS/EasyVVUQ focusing on reliability improvements in data analysis pipelines and robust handling of incomplete data scenarios.
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025Monthly summary for 2025-05 focusing on the EasyVVUQ work within UCL-CCS. This period highlights targeted fixes and upstream-aligned refactors that improve the reliability and business value of uncertainty quantification workflows. Highlights include: - Key features delivered: upstream alignment and robustness refactor across ensemble bootstrapping, campaign management, and internal data handling to align with upstream EasyVVUQ changes; improves compatibility and long-term maintainability. - Major bugs fixed: correctness fix for Sobol' index generation/application in QMC analysis bootstrapping, ensuring proper resampled matrices per bootstrap iteration and improving the accuracy of QMC-based uncertainty estimates. - Overall impact: enhanced reliability and accuracy of UQ analyses, reduced risk in production pipelines, and smoother upgrades with upstream changes, enabling more trustworthy decision support. - Technologies/skills demonstrated: Python-based refactoring, bootstrapping methodologies, Sobol' index handling, QMC analyses, upstream compatibility, and robustness improvements for production workflows.
May 2025
2 Commits • 1 Features
May 1, 2025Monthly summary for 2025-05 focusing on the EasyVVUQ work within UCL-CCS. This period highlights targeted fixes and upstream-aligned refactors that improve the reliability and business value of uncertainty quantification workflows. Highlights include: - Key features delivered: upstream alignment and robustness refactor across ensemble bootstrapping, campaign management, and internal data handling to align with upstream EasyVVUQ changes; improves compatibility and long-term maintainability. - Major bugs fixed: correctness fix for Sobol' index generation/application in QMC analysis bootstrapping, ensuring proper resampled matrices per bootstrap iteration and improving the accuracy of QMC-based uncertainty estimates. - Overall impact: enhanced reliability and accuracy of UQ analyses, reduced risk in production pipelines, and smoother upgrades with upstream changes, enabling more trustworthy decision support. - Technologies/skills demonstrated: Python-based refactoring, bootstrapping methodologies, Sobol' index handling, QMC analyses, upstream compatibility, and robustness improvements for production workflows.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025: Consolidated stability and compatibility for EasyVVUQ through targeted dependency upgrades and API cleanup. Delivered updated core deps, streamlined versioning strategy, and simplified the MCSampler API to reduce confusion and maintenance burden.
3 Commits • 1 Features
Apr 1, 2025April 2025: Consolidated stability and compatibility for EasyVVUQ through targeted dependency upgrades and API cleanup. Delivered updated core deps, streamlined versioning strategy, and simplified the MCSampler API to reduce confusion and maintenance burden.
April 2025
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Quality Metrics
Correctness86.8%
Maintainability93.4%
Architecture83.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTOML
Technical Skills
Data AnalysisDependency ManagementError HandlingLibrary MaintenanceMonte Carlo MethodsNumerical AnalysisRefactoringScientific ComputingSensitivity AnalysisSoftware DevelopmentSoftware Engineering
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