PlasmaControl/DESC
Oct 2024 – Jul 2025
8 Months active
Languages Used
PythonBashFortranJAXJupyter NotebookMarkdownShellUnknown
Technical Skills
Data HandlingNumerical ComputationNumerical ComputingScientific ComputingAutomationBackend Development
Rory Conlin
PROFILE
Rory Conlin
Overall Statistics
Feature vs Bugs
72%Features
Repository Contributions
110Total
Bugs
19
Commits
110
Features
49
Lines of code
1,469,770
Activity Months8
Your Network
13 people
Work History
July 2025
6 Commits • 2 Features
Jul 1, 2025Monthly work summary for 2025-07 focused on PlasmaControl/DESC. Delivered foundational stability and reliability enhancements in JIT-compiled models and basis indexing, with corresponding documentation updates to support maintenance and onboarding.
6 Commits • 2 Features
Jul 1, 2025Monthly work summary for 2025-07 focused on PlasmaControl/DESC. Delivered foundational stability and reliability enhancements in JIT-compiled models and basis indexing, with corresponding documentation updates to support maintenance and onboarding.
July 2025
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for PlasmaControl/DESC: Delivered memory-efficient core optimizations and enabled dynamic configuration updates. Implemented static attribute marking for selected DESC core attributes in magnetic_fields and objectives modules to reduce memory footprint and satisfy unit tests. Removed static treatment for basis-related attributes, making them dynamic to support updates to basis configurations and prevent immutability issues in geometric definitions. The changes align with performance and flexibility goals, improving runtime efficiency, test reliability, and maintainability for future DESC enhancements.
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for PlasmaControl/DESC: Delivered memory-efficient core optimizations and enabled dynamic configuration updates. Implemented static attribute marking for selected DESC core attributes in magnetic_fields and objectives modules to reduce memory footprint and satisfy unit tests. Removed static treatment for basis-related attributes, making them dynamic to support updates to basis configurations and prevent immutability issues in geometric definitions. The changes align with performance and flexibility goals, improving runtime efficiency, test reliability, and maintainability for future DESC enhancements.
March 2025
9 Commits • 1 Features
Mar 1, 2025March 2025 (PlasmaControl/DESC): Delivered targeted features and reliability improvements that reduce log noise, enhance correctness, and improve test determinism. Key items include optimizer output suppression with pre/post objective reporting; standardization of static attributes across core DESC classes; a controlled revert of Python 3.13 source retrieval fixes to preserve stability; and strengthened tests/data handling for reproducibility and reliability.
9 Commits • 1 Features
Mar 1, 2025March 2025 (PlasmaControl/DESC): Delivered targeted features and reliability improvements that reduce log noise, enhance correctness, and improve test determinism. Key items include optimizer output suppression with pre/post objective reporting; standardization of static attributes across core DESC classes; a controlled revert of Python 3.13 source retrieval fixes to preserve stability; and strengthened tests/data handling for reproducibility and reliability.
March 2025
February 2025
14 Commits • 4 Features
Feb 1, 2025February 2025 performance summary for PlasmaControl/DESC: Delivered major enhancements to distance objectives (NFP-based calculations, RPZ utilities), hardened solver robustness (profile integration, iota positivity) and expanded optimization capabilities with differentiable softmin; introduced memory-efficient, chunked distance computation for large coil sets; improved internal utilities for multidimensional softmin/max and dictionary-based outputs; and updated release notes to reflect these changes. This work improves accuracy, reliability, CI compatibility, and enables scalable, differentiable optimization in production.
February 2025
14 Commits • 4 Features
Feb 1, 2025February 2025 performance summary for PlasmaControl/DESC: Delivered major enhancements to distance objectives (NFP-based calculations, RPZ utilities), hardened solver robustness (profile integration, iota positivity) and expanded optimization capabilities with differentiable softmin; introduced memory-efficient, chunked distance computation for large coil sets; improved internal utilities for multidimensional softmin/max and dictionary-based outputs; and updated release notes to reflect these changes. This work improves accuracy, reliability, CI compatibility, and enables scalable, differentiable optimization in production.
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for PlasmaControl/DESC focusing on business value and technical achievements. Delivered user-facing safeguards for axis current in Equilibrium, strengthened reliability and test coverage, and resolved a core continuation-method issue affecting spectral resolution. Result: more robust simulations, clearer user feedback, and improved stability for workflow execution.
4 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for PlasmaControl/DESC focusing on business value and technical achievements. Delivered user-facing safeguards for axis current in Equilibrium, strengthened reliability and test coverage, and resolved a core continuation-method issue affecting spectral resolution. Result: more robust simulations, clearer user feedback, and improved stability for workflow execution.
January 2025
December 2024
32 Commits • 24 Features
Dec 1, 2024December 2024 (PlasmaControl/DESC) development focused on reproducibility, CI reliability, and maintainability while delivering targeted features. Highlights include documentation improvements, dependency pinning for reproducible builds, CI enhancements, test baseline updates, and targeted bug fixes that reduce noise and improve stability. These changes collectively improve developer onboarding, reduce run times, and increase confidence in results across the codebase.
December 2024
32 Commits • 24 Features
Dec 1, 2024December 2024 (PlasmaControl/DESC) development focused on reproducibility, CI reliability, and maintainability while delivering targeted features. Highlights include documentation improvements, dependency pinning for reproducible builds, CI enhancements, test baseline updates, and targeted bug fixes that reduce noise and improve stability. These changes collectively improve developer onboarding, reduce run times, and increase confidence in results across the codebase.
November 2024
40 Commits • 16 Features
Nov 1, 2024November 2024 (PlasmaControl/DESC) — Delivered user-facing enhancements, reliability improvements, and automation to accelerate design optimization and reduce operational risk. Key features delivered include Notebook and Tutorial Enhancements (updated tutorial plots, integration of new notebook functions, improved example scripts with tests), Coil Initialization and Documentation Enhancements (new initialization APIs and updated documentation), Changelog Automation and Maintenance Tools (new action for changelog updates, cleanup of TODOs/FIXMEs, tagging of generalized toroidal angle TODOs), and a series of Execution Fixes and Refactors to improve stability (syntax fixes, label retrieval, missing warning type, perturbed state dimension, refined skip logic). Additionally, testing quality and documentation were strengthened (parameterized coil tests, test fixes, improved docstrings). These workstreams have improved user experience, reproducibility, and the robustness of core coil modeling and optimization features, enabling more reliable experiments and faster release cycles. Technologies used include Python, Jupyter notebooks, pytest, documentation tooling, and release automation.
40 Commits • 16 Features
Nov 1, 2024November 2024 (PlasmaControl/DESC) — Delivered user-facing enhancements, reliability improvements, and automation to accelerate design optimization and reduce operational risk. Key features delivered include Notebook and Tutorial Enhancements (updated tutorial plots, integration of new notebook functions, improved example scripts with tests), Coil Initialization and Documentation Enhancements (new initialization APIs and updated documentation), Changelog Automation and Maintenance Tools (new action for changelog updates, cleanup of TODOs/FIXMEs, tagging of generalized toroidal angle TODOs), and a series of Execution Fixes and Refactors to improve stability (syntax fixes, label retrieval, missing warning type, perturbed state dimension, refined skip logic). Additionally, testing quality and documentation were strengthened (parameterized coil tests, test fixes, improved docstrings). These workstreams have improved user experience, reproducibility, and the robustness of core coil modeling and optimization features, enabling more reliable experiments and faster release cycles. Technologies used include Python, Jupyter notebooks, pytest, documentation tooling, and release automation.
November 2024
October 2024
2 Commits
Oct 1, 2024October 2024 monthly summary for PlasmaControl/DESC: Delivered critical fixes to numerical routines, improving accuracy and stability of magnetic field calculations. Implemented robust handling of masked arrays and eliminated integer overflow risks in Zernike radial coefficients, enhancing reliability of long-running simulations. These changes reduce numerical errors, improve test coverage, and strengthen business value by delivering more dependable physics computations.
October 2024
2 Commits
Oct 1, 2024October 2024 monthly summary for PlasmaControl/DESC: Delivered critical fixes to numerical routines, improving accuracy and stability of magnetic field calculations. Implemented robust handling of masked arrays and eliminated integer overflow risks in Zernike radial coefficients, enhancing reliability of long-running simulations. These changes reduce numerical errors, improve test coverage, and strengthen business value by delivering more dependable physics computations.
Activity
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Quality Metrics
Correctness87.4%
Maintainability89.8%
Architecture84.2%
Performance81.4%
AI Usage20.4%
Skills & Technologies
Programming Languages
BashFortranJAXJupyter NotebookMarkdownPythonRSTShellTextUnknown
Technical Skills
API DesignArray ManipulationAutomationBackend DevelopmentCI/CDChangelog ManagementClass ManagementClean CodeCode AnalysisCode ClarityCode CleanupCode DevelopmentCode GenerationCode IntrospectionCode Refactoring
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