pmgbergen/porepy
Nov 2024 – Oct 2025
7 Months active
Languages Used
Jupyter NotebookPythonNumPy
Technical Skills
DocumentationPorePy LibraryScientific ComputingBug FixingData VisualizationGeometry
Ingrid Kristine Jacobsen
PROFILE
Ingrid Kristine Jacobsen
Ingrid Kristine Jacobsen developed advanced mixed-dimensional modeling and grid generation features for the pmgbergen/porepy repository, focusing on robust support for non-matching fracture grids and projection methods. She enhanced the API for tensor parameterization, improved data export fidelity for ParaView visualizations, and streamlined cell diameter calculations to reduce configuration errors. Her work emphasized maintainability through code refactoring, expanded test coverage, and comprehensive documentation, leveraging Python, Jupyter Notebook, and NumPy. By integrating dynamic refinement, static analysis, and object-oriented design, Ingrid delivered reliable scientific computing tools that improved modeling accuracy, reproducibility, and onboarding for users working with complex subsurface simulations.
Overall Statistics
Feature vs Bugs
85%Features
Repository Contributions
54Total
Bugs
2
Commits
54
Features
11
Lines of code
2,568
Activity Months7
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: porepy feature refinement focused on API simplification for the cell diameter calculation workflow. Removed the optional cn parameter and computed cell nodes internally, reducing API surface, dependencies, and potential configuration errors. This enhances maintainability and sets a cleaner foundation for future enhancements and testing. Commit reference encapsulates the change.
1 Commits • 1 Features
Oct 1, 2025October 2025: porepy feature refinement focused on API simplification for the cell diameter calculation workflow. Removed the optional cn parameter and computed cell nodes internally, reducing API surface, dependencies, and potential configuration errors. This enhances maintainability and sets a cleaner foundation for future enhancements and testing. Commit reference encapsulates the change.
October 2025
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) – pmgbergen/porepy: Delivered ParaView Time Export Enhancement, enabling explicit physical time values to be exported via time_manager.exported_times for both new exports and appends. This change improves data fidelity in ParaView visualizations and enhances reproducibility of time-dependent analyses. The work included tests and documentation updates to ensure correctness and maintainability. No major bug fixes reported this period.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) – pmgbergen/porepy: Delivered ParaView Time Export Enhancement, enabling explicit physical time values to be exported via time_manager.exported_times for both new exports and appends. This change improves data fidelity in ParaView visualizations and enhances reproducibility of time-dependent analyses. The work included tests and documentation updates to ensure correctness and maintainability. No major bug fixes reported this period.
March 2025
14 Commits • 3 Features
Mar 1, 2025March 2025 (pmgbergen/porepy): Delivered API improvements and stability for tensor parameterization, expanded second-order tensor utilities, and enhanced testing/documentation for fourth-order tensors. Strengthened typing, fixed mutable defaults, and optimized tensor operations to improve performance and reliability in material simulations.
14 Commits • 3 Features
Mar 1, 2025March 2025 (pmgbergen/porepy): Delivered API improvements and stability for tensor parameterization, expanded second-order tensor utilities, and enhanced testing/documentation for fourth-order tensors. Strengthened typing, fixed mutable defaults, and optimized tensor operations to improve performance and reliability in material simulations.
March 2025
February 2025
18 Commits • 2 Features
Feb 1, 2025February 2025 focused on delivering robust non-matching fracture grid enhancements and targeted code-quality improvements in porepy. Delivered dynamic refinement for non-matching grids, user-configurable refinement parameters, and integration of a library-based approach (mdg_library) for mixed-dimensional grids. Expanded test coverage to validate geometry creation and fracture configuration counts, ensuring reliability across scenarios. Implemented internal refactoring to improve maintainability, typing, and static analysis readiness, setting the stage for faster development and more robust simulations. No major bug fixes; the month emphasized reliability, performance consistency, and business value through better grid accuracy and maintainability.
February 2025
18 Commits • 2 Features
Feb 1, 2025February 2025 focused on delivering robust non-matching fracture grid enhancements and targeted code-quality improvements in porepy. Delivered dynamic refinement for non-matching grids, user-configurable refinement parameters, and integration of a library-based approach (mdg_library) for mixed-dimensional grids. Expanded test coverage to validate geometry creation and fracture configuration counts, ensuring reliability across scenarios. Implemented internal refactoring to improve maintainability, typing, and static analysis readiness, setting the stage for faster development and more robust simulations. No major bug fixes; the month emphasized reliability, performance consistency, and business value through better grid accuracy and maintainability.
January 2025
7 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary focusing on business value and technical achievements for pmgbergen/porepy. Highlights include expanded non-matching mixed-dimensional grid support with NonMatchingSquareDomainOrthogonalFractures, interface-grid handling, and updated MDG generation, tests, and documentation; stabilization of MandelSetup Cartesian-grid plotting by issuing a warning and bypassing the problematic plotting path to prevent crashes; and code quality improvements with isort-compliant imports in mandel_biot.py. Overall impact: broader grid applicability and more reliable visualization workflows, supported by thorough tests and clear documentation. Technologies/skills demonstrated include Python, grid generation, interface mapping, test-driven development, documentation, and code quality practices.
7 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary focusing on business value and technical achievements for pmgbergen/porepy. Highlights include expanded non-matching mixed-dimensional grid support with NonMatchingSquareDomainOrthogonalFractures, interface-grid handling, and updated MDG generation, tests, and documentation; stabilization of MandelSetup Cartesian-grid plotting by issuing a warning and bypassing the problematic plotting path to prevent crashes; and code quality improvements with isort-compliant imports in mandel_biot.py. Overall impact: broader grid applicability and more reliable visualization workflows, supported by thorough tests and clear documentation. Technologies/skills demonstrated include Python, grid generation, interface mapping, test-driven development, documentation, and code quality practices.
January 2025
December 2024
9 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for pmgbergen/porepy: Focused on enhancing projection tutorials and ensuring geometry correctness after fracture refinement. Delivered a consolidated, expanded projection tutorial suite across dimensional subdomains and fractures (including non-matching grids), improved visuals and explanations, and fixed boundary grid geometry updates to recompute geometry post-refinement. These efforts reduce onboarding time, improve modeling accuracy, and strengthen user confidence in cross-domain projections.
December 2024
9 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for pmgbergen/porepy: Focused on enhancing projection tutorials and ensuring geometry correctness after fracture refinement. Delivered a consolidated, expanded projection tutorial suite across dimensional subdomains and fractures (including non-matching grids), improved visuals and explanations, and fixed boundary grid geometry updates to recompute geometry post-refinement. These efforts reduce onboarding time, improve modeling accuracy, and strengthen user confidence in cross-domain projections.
November 2024
2 Commits • 1 Features
Nov 1, 20242024-11: Delivered a new PorePy Projection Methods Tutorial to guide users through projection between mixed-dimensional subdomains, covering terminology, mathematical concepts, and a practical example (projecting quantities like pressure) with code snippets for setting up mixed-dimensional geometry and performing projection steps. The work includes iterative tutorial development and two committed changes. No major bugs fixed this month. This deliverable strengthens onboarding, reproducibility, and practical adoption of projection techniques, delivering clear business value and demonstrating solid technical execution.
2 Commits • 1 Features
Nov 1, 20242024-11: Delivered a new PorePy Projection Methods Tutorial to guide users through projection between mixed-dimensional subdomains, covering terminology, mathematical concepts, and a practical example (projecting quantities like pressure) with code snippets for setting up mixed-dimensional geometry and performing projection steps. The work includes iterative tutorial development and two committed changes. No major bugs fixed this month. This deliverable strengthens onboarding, reproducibility, and practical adoption of projection techniques, delivering clear business value and demonstrating solid technical execution.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness88.8%
Maintainability89.4%
Architecture84.4%
Performance79.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookNumPyPython
Technical Skills
API DesignBug FixingCode CleanupCode FormattingCode MaintenanceCode OrganizationCode QualityCode RefactoringComputational GeometryData ValidationData VisualizationDocumentationError HandlingFile HandlingFinite Volume Method
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline