hiddenSymmetries/simsopt
Nov 2024 – Jun 2025
6 Months active
Languages Used
DockerfilePythonYAMLC++RSTJAX
Technical Skills
CI/CDDependency ManagementDockerDebuggingGitHub ActionsNumerical Analysis
Matt Landreman
PROFILE
Matt Landreman
Matt Land contributed to the hiddenSymmetries/simsopt repository by developing and refining scientific computing features for plasma physics simulations. He focused on improving CI/CD pipelines, enhancing documentation, and increasing the robustness of geometry and simulation modules. Using Python and C++, Matt modernized testing infrastructure, optimized Python wheel packaging, and implemented precise simulation controls such as fractional toroidal transit stopping. His work included refactoring core classes, aligning code with research conventions, and expanding configuration management. Through careful debugging, code refactoring, and technical writing, Matt delivered maintainable, well-documented solutions that improved usability, reliability, and research reproducibility for the simsopt codebase.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
35Total
Bugs
6
Commits
35
Features
9
Lines of code
5,309
Activity Months6
Your Network
65 people
Work History
June 2025
2 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for hiddenSymmetries/simsopt focusing on delivering precise simulation controls and improving code maintainability. The month emphasized API refinement and documentation to support research-backed configurations. No major bug fixes documented in the scope of this repo for this period; changes aimed at robustness through clearer interfaces and maintainable code paths.
2 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for hiddenSymmetries/simsopt focusing on delivering precise simulation controls and improving code maintainability. The month emphasized API refinement and documentation to support research-backed configurations. No major bug fixes documented in the scope of this repo for this period; changes aimed at robustness through clearer interfaces and maintainable code paths.
June 2025
May 2025
10 Commits • 3 Features
May 1, 2025May 2025 performance summary for hiddenSymmetries/simsopt focusing on feature delivery, bug fixes, and infrastructure improvements that enhance usability, reliability, and maintainability. Key outcomes include comprehensive documentation enhancements, alignment of CurveHelical with simsopt conventions, robust handling of non-uniform phi in extend_via_normal, and expanded CI/config testing coverage.
May 2025
10 Commits • 3 Features
May 1, 2025May 2025 performance summary for hiddenSymmetries/simsopt focusing on feature delivery, bug fixes, and infrastructure improvements that enhance usability, reliability, and maintainability. Key outcomes include comprehensive documentation enhancements, alignment of CurveHelical with simsopt conventions, robust handling of non-uniform phi in extend_via_normal, and expanded CI/config testing coverage.
March 2025
8 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for hiddenSymmetries/simsopt focusing on user guidance, numerical robustness, and CI reliability. Key work centered on wireframe documentation improvements with enhanced Sphinx rendering, robustness fixes for surface parameterization, and CI/test stability enhancements to reduce flaky builds. The work emphasizes delivering business value through clearer guidance for users, more reliable geometry computations, and faster PR validation.
8 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for hiddenSymmetries/simsopt focusing on user guidance, numerical robustness, and CI reliability. Key work centered on wireframe documentation improvements with enhanced Sphinx rendering, robustness fixes for surface parameterization, and CI/test stability enhancements to reduce flaky builds. The work emphasizes delivering business value through clearer guidance for users, more reliable geometry computations, and faster PR validation.
March 2025
February 2025
5 Commits • 1 Features
Feb 1, 2025February 2025: Consolidated and accelerated wheel packaging CI for hiddenSymmetries/simsopt by aligning the workflow with cibuildwheel examples and pruning unstable builds, resulting in faster feedback and more reliable wheel artifacts.
February 2025
5 Commits • 1 Features
Feb 1, 2025February 2025: Consolidated and accelerated wheel packaging CI for hiddenSymmetries/simsopt by aligning the workflow with cibuildwheel examples and pruning unstable builds, resulting in faster feedback and more reliable wheel artifacts.
January 2025
9 Commits • 1 Features
Jan 1, 2025January 2025: Stabilized and modernized the CI/testing pipeline for simsopt, improved test robustness across platforms, and prepared groundwork for more reliable builds and accelerated feedback loops. This month focused on CI infrastructure refresh, targeted test hardening, and ensuring near-term release readiness across Ubuntu and macOS environments.
9 Commits • 1 Features
Jan 1, 2025January 2025: Stabilized and modernized the CI/testing pipeline for simsopt, improved test robustness across platforms, and prepared groundwork for more reliable builds and accelerated feedback loops. This month focused on CI infrastructure refresh, targeted test hardening, and ensuring near-term release readiness across Ubuntu and macOS environments.
January 2025
November 2024
1 Commits
Nov 1, 2024November 2024 monthly summary for the hiddenSymmetries/simsopt repository focused on stabilizing CI builds and ensuring reliable HPC integration. Delivered a targeted workaround to known Shifter/NERSC compatibility issues by pinning mpi4py to <4.0 in the Dockerfile, preventing upstream CI/build-time failures and enabling consistent test execution in HPC environments.
November 2024
1 Commits
Nov 1, 2024November 2024 monthly summary for the hiddenSymmetries/simsopt repository focused on stabilizing CI builds and ensuring reliable HPC integration. Delivered a targeted workaround to known Shifter/NERSC compatibility issues by pinning mpi4py to <4.0 in the Dockerfile, preventing upstream CI/build-time failures and enabling consistent test execution in HPC environments.
Activity
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Quality Metrics
Correctness88.0%
Maintainability91.6%
Architecture84.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++DockerfileJAXPythonRSTYAML
Technical Skills
C++CI/CDCode RefactoringConfiguration ManagementDebuggingDependency ManagementDockerDocumentationError HandlingGeometryGitHub ActionsLinear AlgebraNumerical AnalysisNumerical MethodsNumerical Simulation
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