NNPDF/nnpdf
May 2025 – Jan 2026
4 Months active
Languages Used
YAMLPython
Technical Skills
Data ConfigurationPhysics AnalysisCI/CDData AnalysisGitHub ActionsJupyter Notebook
Eva Groenendijk
PROFILE
Eva Groenendijk
Worked on the NNPDF/nnpdf repository, delivering core features for physics analysis and grid generation over four months. Developed dynamic Q2 grid generation with CI/CD integration, enabling automated environment setup and flexible, accurate grid creation. Enhanced the project’s structure by reorganizing configuration files and standardizing naming conventions to improve reproducibility. Refactored and optimized Python modules, expanded test coverage, and improved error handling to support LHAPDF evolution and robust downstream analyses. Addressed critical bugs in parameter handling and module imports, while simplifying APIs for maintainability. Leveraged Python, YAML, and GitHub Actions, emphasizing test-driven development, scientific computing, and code quality throughout.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
26Total
Bugs
2
Commits
26
Features
4
Lines of code
5,185,418
Activity Months4
Your Network
25 peopleShared Repositories
25
Andrew PietraszkiewiczMember
achiefaMember
Giovanni De CrescenzoMember
Ella ColeMember
Eva Doortje Zee GroenendijkMember
Eva Doortje Zee GroenendijkMember
Eva Doortje Zee GroenendijkMember
Eleanor ColeMember
enoceraMember
Work History
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for NNPDF/nnpdf focusing on key features delivered, major bugs fixed, and overall business impact. Delivered significant API and robustness improvements in the nnpdf repository with traceable commits, leading to more predictable behavior, easier integration, and reduced maintenance burden. The work emphasizes business value from stability, compatibility, and test-driven progress.
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for NNPDF/nnpdf focusing on key features delivered, major bugs fixed, and overall business impact. Delivered significant API and robustness improvements in the nnpdf repository with traceable commits, leading to more predictable behavior, easier integration, and reduced maintenance burden. The work emphasizes business value from stability, compatibility, and test-driven progress.
January 2026
November 2025
15 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for NNPDF/nnpdf: Delivered substantive Q2grid generation system improvements with refactors and enhancements to mapping, max Q handling, error validation, expanded test coverage, and updated documentation to support LHAPDF evolution. Also fixed a critical import issue in the Q2GRID_NNPDF40 module to ensure correct module references within the package. Overall impact includes more robust grid generation, reduced runtime risks, improved test coverage, and smoother LHAPDF evolution integration, enabling more reliable downstream analyses. Technologies and practices demonstrated include Python refactoring, test-driven development, cross-module coordination, and comprehensive documentation efforts.
November 2025
15 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for NNPDF/nnpdf: Delivered substantive Q2grid generation system improvements with refactors and enhancements to mapping, max Q handling, error validation, expanded test coverage, and updated documentation to support LHAPDF evolution. Also fixed a critical import issue in the Q2GRID_NNPDF40 module to ensure correct module references within the package. Overall impact includes more robust grid generation, reduced runtime risks, improved test coverage, and smoother LHAPDF evolution integration, enabling more reliable downstream analyses. Technologies and practices demonstrated include Python refactoring, test-driven development, cross-module coordination, and comprehensive documentation efforts.
October 2025
5 Commits • 1 Features
Oct 1, 2025October 2025: Focused on delivering a dynamic Q2 grid generation framework for NNPDF with CI integration, enabling flexible, accurate grid creation and streamlined testing workflows. Key work included dynamic grid creation, threshold/subgrid logic, a default Q2 grids module, a testing notebook, and refactoring/removal of EKO default grids; Q0 tuning and environment setup were automated via CI.
5 Commits • 1 Features
Oct 1, 2025October 2025: Focused on delivering a dynamic Q2 grid generation framework for NNPDF with CI integration, enabling flexible, accurate grid creation and streamlined testing workflows. Key work included dynamic grid creation, threshold/subgrid logic, a default Q2 grids module, a testing notebook, and refactoring/removal of EKO default grids; Q0 tuning and environment setup were automated via CI.
October 2025
May 2025
3 Commits • 1 Features
May 1, 2025May 2025: Delivered Q0 dependence configuration for theory cards in NNPDF/nnpdf, reorganized theory cards under a dedicated theory_cards directory, and standardized file naming (renaming 41007003.yaml to 41007000.yaml) to streamline physics studies and improve reproducibility within the NNPDF framework.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025: Delivered Q0 dependence configuration for theory cards in NNPDF/nnpdf, reorganized theory cards under a dedicated theory_cards directory, and standardized file naming (renaming 41007003.yaml to 41007000.yaml) to streamline physics studies and improve reproducibility within the NNPDF framework.
Activity
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Quality Metrics
Correctness93.8%
Maintainability91.6%
Architecture91.6%
Performance92.2%
AI Usage22.4%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
CI/CDCode OptimizationCode RefactoringCode refactoringCommand Line Interface (CLI)Data AnalysisData ConfigurationGitHub ActionsJupyter NotebookModule managementPhysics AnalysisPythonPython DevelopmentPython developmentPython programming
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline