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Eva Groenendijk

PROFILE

Eva Groenendijk

Edz Groenendijk developed and enhanced core components of the NNPDF/nnpdf repository, focusing on configuration management, dynamic grid generation, and API robustness for physics analysis workflows. Over four months, Edz delivered features such as YAML-based theory card configuration, a dynamic Q2 grid generation framework with CI/CD integration, and expanded test coverage to support LHAPDF evolution. Using Python, YAML, and GitHub Actions, Edz refactored modules for maintainability, improved error handling, and streamlined command-line interfaces. The work addressed reproducibility, flexibility, and reliability, with careful attention to code quality, documentation, and automated testing, resulting in more predictable and maintainable scientific computing pipelines.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

26Total
Bugs
2
Commits
26
Features
4
Lines of code
5,185,418
Activity Months4

Work History

January 2026

3 Commits • 1 Features

Jan 1, 2026

January 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.

November 2025

15 Commits • 1 Features

Nov 1, 2025

November 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, 2025

October 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.

May 2025

3 Commits • 1 Features

May 1, 2025

May 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

1 repo

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

NNPDF/nnpdf

May 2025 Jan 2026
4 Months active

Languages Used

YAMLPython

Technical Skills

Data ConfigurationPhysics AnalysisCI/CDData AnalysisGitHub ActionsJupyter Notebook

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