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MateoBell

PROFILE

Mateobell

Mateo Bellouard developed and maintained core data integration and simulation features for the google-deepmind/torax repository, focusing on IMAS-driven plasma physics workflows. He engineered robust modules for geometry construction, data loading, and configuration management, enabling reproducible scenario setups and streamlined NetCDF I/O. Using Python and YAML, Mateo consolidated loader logic, improved error handling, and expanded test coverage to ensure data integrity and reliability. His work included refactoring for maintainability, integrating impurity modeling, and enhancing validation for plasma composition. These contributions improved interoperability with external codes, reduced integration risk, and enabled more accurate, scalable simulations for ITER-hybrid and related scenarios.

Overall Statistics

Feature vs Bugs

77%Features

Repository Contributions

47Total
Bugs
5
Commits
47
Features
17
Lines of code
2,901
Activity Months12

Work History

January 2026

3 Commits • 2 Features

Jan 1, 2026

Concise monthly summary for 2026-01 focusing on key accomplishments in the google-deepmind/torax repository. Highlights include robust input validation for IMAS converters and enhanced data-structure validation tests, with measurable improvements in robustness and reliability for downstream analysis.

December 2025

3 Commits • 2 Features

Dec 1, 2025

December 2025 (2025-12): TORAX delivered major PSI data-loading enhancements and a new Core_sources IDS module to support TORAX configuration. The work improves end-to-end data fidelity, analytics readiness, and configuration workflows, accompanied by expanded test coverage and refactoring for maintainability.

November 2025

1 Commits • 1 Features

Nov 1, 2025

Monthly summary for 2025-11 (repository: google-deepmind/torax). Key feature delivered: plasma composition handling enhancement in IMAS profiles by integrating impurity species into the configuration to improve simulation accuracy. Commit: bdb6e9c066d8bd5e9340151714695399afaa12ca. Major bugs fixed: none reported this period. Overall impact: improved simulation fidelity through impurity-aware IMAS configuration; improved alignment with upstream IMAS changes via rebasing. Technologies/skills demonstrated: IMAS configuration integration, impurity modeling, git rebasing, and change traceability.

October 2025

3 Commits • 2 Features

Oct 1, 2025

In Oct 2025, the Torax project delivered two core features that enhance data interoperability with IMAS and strengthen configuration reliability, supported by docs, tests, and refactoring for maintainability. The work focused on IMAS core_profiles integration and export capabilities, enabling smoother downstream analytics and reduced integration risk.

September 2025

1 Commits • 1 Features

Sep 1, 2025

Month: 2025-09 — Focused feature delivery to enhance the simulation test framework for the ITER-hybrid configuration. Delivered a new sim_test that leverages IMAS geometry and profiles to improve testing realism and accuracy, enabling more reliable validation of ITER-hybrid scenarios. Commit 500e983179a62da06942d9c8fc9ce9029f871857: Add sim_test with IMAS config setting. No major bugs fixed this month.

August 2025

6 Commits • 2 Features

Aug 1, 2025

Monthly summary for 2025-08: Delivered core IMAS improvements in torax focusing on modularity, loader consolidation, and flexible input handling. Reorganized IMAS tooling, consolidated loader usage into the equilibrium input module, and integrated core_profiles/plasma_profiles loading into TORAX's profile_conditions format to enable smoother data workflows and future PR work.

July 2025

2 Commits

Jul 1, 2025

July 2025 monthly summary for google-deepmind/torax: Focused on stabilizing CI for IMAS tests by syncing test data with API changes. A targeted effort addressed a discrepancy in the IMAS CI test file, resulting in more reliable CI runs. This work reduces test flakiness, accelerates feedback cycles, and improves repo reliability.

June 2025

5 Commits • 2 Features

Jun 1, 2025

June 2025 monthly summary for google-deepmind/torax focusing on reliability, interoperability with IMAS workflows, and improved NetCDF export readiness.

March 2025

6 Commits • 3 Features

Mar 1, 2025

March 2025 (2025-03) Monthly Summary for google-deepmind/torax. Focused on validation, interoperability, and reliability: delivered features enabling external-code coupling and robust validation, fixed a critical data-handling issue, and strengthened test coverage. These efforts increase validation fidelity, reduce integration risk with external tools, and accelerate reliable experimentation in IMAS-based workflows.

February 2025

2 Commits

Feb 1, 2025

February 2025 monthly summary for google-deepmind/torax focused on reliability improvements through targeted data consistency and IMAS geometry fixes. The work reduced downstream errors and improved modeling fidelity for ITER_hybrid configurations by correcting input data alignment and geometry calculations.

December 2024

4 Commits • 1 Features

Dec 1, 2024

December 2024 monthly summary for google-deepmind/torax: Delivered IMAS/IMASPy data IO integration and related utilities to TORAX, enabling streamlined data loading and NetCDF I/O. Refactored geometry loading to support flexible inputs and simplified loading workflows, improving usability and data interoperability. This work migrates data handling from IMAS to IMASPy, reducing maintenance overhead and enabling scalable configurations.

November 2024

11 Commits • 1 Features

Nov 1, 2024

November 2024: Delivered end-to-end IMAS-driven geometry construction for google-deepmind/torax, enabling creation of geometry objects and providers directly from IMAS data, loading equilibrium IDs from data entries, and updating flows and configuration for IMAS-driven ITER scenarios. Expanded test coverage and implemented robust constructors, delivering a data-driven, reproducible workflow for scenario configuration and improving automation and consistency across the repo.

Activity

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Quality Metrics

Correctness89.6%
Maintainability86.6%
Architecture85.4%
Performance78.8%
AI Usage21.2%

Skills & Technologies

Programming Languages

PythonYAMLrst

Technical Skills

API IntegrationBackend DevelopmentCode CleanupCode DocumentationCode FormattingCode OrganizationCode ReadabilityCode RefactoringConfiguration ManagementData AnalysisData EngineeringData HandlingData LoadingData ManagementData Modeling

Repositories Contributed To

1 repo

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

google-deepmind/torax

Nov 2024 Jan 2026
12 Months active

Languages Used

PythonYAMLrst

Technical Skills

Backend DevelopmentCode RefactoringConfiguration ManagementData AnalysisData EngineeringData Management