pabloprf/MITIM-fusion
Sep 2025 – Jun 2026
4 Months active
Languages Used
PythonTOML
Technical Skills
Bug FixingData ManipulationData ProcessingNumerical SimulationPlasma PhysicsCode Migration
Garud Snoep
PROFILE
Garud Snoep
Contributed to the MITIM-fusion repository by developing and integrating advanced plasma physics features using Python and scientific computing techniques. Delivered a neural network-based GKNN transport model for predicting turbulent fluxes, enabling multi-species data processing and targeted corrections for improved accuracy. Migrated equilibrium data processing and plotting pipelines to the Megpy library, refactored dependencies, and enhanced data visualization workflows. Improved robustness by implementing mass-weighted velocity profiles and adding safeguards against missing data. Addressed import compatibility issues to ensure maintainability and reliability. Demonstrated strengths in code migration, data analysis, and machine learning, with a focus on scalable, physics-informed modeling and workflow modernization.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
10Total
Bugs
3
Commits
10
Features
3
Lines of code
783
Activity Months4
Your Network
16 peopleShared Repositories
16
Aaron HoMember
Aaron HoMember
AMartinSanabriaMember
AMartinSanabriaMember
audreysaMember
audreysaMember
AudreySaltzmanMember
audreysaMember
jo-hallMember
Work History
June 2026
1 Commits
Jun 1, 2026June 2026 summary for MITIM-fusion: Focused on stability and compatibility improvements to GKNN integration. Despite a lean feature set for this period, we delivered a critical import compatibility fix that enhances reliability and maintainability of GKNN functionality across the repository.
1 Commits
Jun 1, 2026June 2026 summary for MITIM-fusion: Focused on stability and compatibility improvements to GKNN integration. Despite a lean feature set for this period, we delivered a critical import compatibility fix that enhances reliability and maintainability of GKNN functionality across the repository.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026Month: 2026-05 – Delivered a new GKNN transport model for predicting turbulent fluxes in plasma physics within the MITIM-fusion project. The model uses a neural network to process multi-species data and applies targeted corrections to improve accuracy. No major bugs reported this month; ongoing validation and integration with existing pipelines to enable more accurate plasma transport predictions and future experimentation. Overall impact: strengthens predictive capabilities, enables more reliable physics-informed ML decisions, and lays groundwork for scalable multi-species transport modeling.
May 2026
1 Commits • 1 Features
May 1, 2026Month: 2026-05 – Delivered a new GKNN transport model for predicting turbulent fluxes in plasma physics within the MITIM-fusion project. The model uses a neural network to process multi-species data and applies targeted corrections to improve accuracy. No major bugs reported this month; ongoing validation and integration with existing pipelines to enable more accurate plasma transport predictions and future experimentation. Overall impact: strengthens predictive capabilities, enables more reliable physics-informed ML decisions, and lays groundwork for scalable multi-species transport modeling.
October 2025
6 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary focusing on MITIM-fusion modernization: Megpy-based equilibrium data processing and plotting pipeline implemented; GEQtools migrated to Megpy; dependencies updated to enable the new library; robustness improvement in velocity calculations by excluding near-zero vtor species; MAESTROplot updated for Megpy migration; dependency management adjusted with Megpy added and moved to unstable to track upstream improvements; overall impact: improved data fidelity, plotting reliability, and maintainability, enabling faster iteration and more accurate analyses for production workflows.
6 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary focusing on MITIM-fusion modernization: Megpy-based equilibrium data processing and plotting pipeline implemented; GEQtools migrated to Megpy; dependencies updated to enable the new library; robustness improvement in velocity calculations by excluding near-zero vtor species; MAESTROplot updated for Megpy migration; dependency management adjusted with Megpy added and moved to unstable to track upstream improvements; overall impact: improved data fidelity, plotting reliability, and maintainability, enabling faster iteration and more accurate analyses for production workflows.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) monthly summary for pabloprf/MITIM-fusion: Delivered mass-weighted velocity profiles for lumped species and hardened species manipulation with a robust key-existence check. These changes improve the accuracy of plasma dynamics representation during lumping, increase robustness against missing profile data, and enhance maintainability.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) monthly summary for pabloprf/MITIM-fusion: Delivered mass-weighted velocity profiles for lumped species and hardened species manipulation with a robust key-existence check. These changes improve the accuracy of plasma dynamics representation during lumping, increase robustness against missing profile data, and enhance maintainability.
Activity
Loading activity data...
Quality Metrics
Correctness85.0%
Maintainability86.0%
Architecture83.0%
Performance72.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
PythonTOML
Technical Skills
Bug FixingCode MigrationCode RefactoringData AnalysisData ManipulationData ProcessingData VisualizationDependency ManagementLibrary IntegrationNumerical SimulationPlasma PhysicsPythonScientific Computingdata processingmachine learning
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline