
Audrey Sa worked on the MITIM-fusion repository, delivering robust workflow automation and scientific computing enhancements over six months. She refactored path handling using Python’s pathlib to improve cross-platform reliability, implemented SLURM array execution for scalable batch jobs, and enhanced plotting routines for clearer data visualization. Audrey addressed automation reliability by introducing non-interactive prompt handling and hardened configuration parsing to reduce manual intervention. Her work included fixing job submission bugs, improving error handling in file operations, and expanding modeling capabilities with new input logic and output formats. Through Python scripting, shell scripting, and configuration management, she delivered maintainable, reproducible research workflows.

October 2025 focused on expanding end-to-end modeling capabilities and improving reliability across MITIM-fusion workflows. Implemented zeta-aware EPEDbeat, preserved real frequencies in GACODE plots, enabled MAESTRO FIBE support with correct I/O, and hardened path handling for to_geqdsk, delivering more flexible analyses and more robust automation.
October 2025 focused on expanding end-to-end modeling capabilities and improving reliability across MITIM-fusion workflows. Implemented zeta-aware EPEDbeat, preserved real frequencies in GACODE plots, enabled MAESTRO FIBE support with correct I/O, and hardened path handling for to_geqdsk, delivering more flexible analyses and more robust automation.
September 2025 monthly summary for pabloprf/MITIM-fusion: Delivered key enhancements to SLURM integration and EPED plotting, improving reliability of batch submissions and clarity of data visualizations. Implemented an optional run_slurm wait mode, fixed a critical job-naming bug, and enhanced EPED plots with refined labels, legend handling, numeric sublabel sorting, and NaN handling for missing values. These changes reduce operational ambiguity, enable more accurate performance assessments, and demonstrate strong Python development, SLURM integration, and data visualization skills.
September 2025 monthly summary for pabloprf/MITIM-fusion: Delivered key enhancements to SLURM integration and EPED plotting, improving reliability of batch submissions and clarity of data visualizations. Implemented an optional run_slurm wait mode, fixed a critical job-naming bug, and enhanced EPED plots with refined labels, legend handling, numeric sublabel sorting, and NaN handling for missing values. These changes reduce operational ambiguity, enable more accurate performance assessments, and demonstrate strong Python development, SLURM integration, and data visualization skills.
Month: 2025-08 — MITIM-fusion: Focused on automation reliability and configuration robustness. Implemented a non-interactive handling policy for the query_yes_no prompt to prevent hangs in automated workflows, with auto-respond in non-interactive environments and explicit error signaling for non-interactive runs (notably under SLURM). Hardened MAESTRO namelist parsing to ensure eped_initializer uses the eped_beat namelist when available, corrected control-flow handling for different beat types, and ensured changes are properly saved. These improvements reduce manual intervention, improve reproducibility of simulations, and strengthen batch/CI execution.
Month: 2025-08 — MITIM-fusion: Focused on automation reliability and configuration robustness. Implemented a non-interactive handling policy for the query_yes_no prompt to prevent hangs in automated workflows, with auto-respond in non-interactive environments and explicit error signaling for non-interactive runs (notably under SLURM). Hardened MAESTRO namelist parsing to ensure eped_initializer uses the eped_beat namelist when available, corrected control-flow handling for different beat types, and ensured changes are properly saved. These improvements reduce manual intervention, improve reproducibility of simulations, and strengthen batch/CI execution.
Month 2025-05: Delivered SLURM array execution capability and a usage tutorial, enabling parallel runs with varying seeds and improved batch management. Fixed robustness issue by guarding slurm_output reads in check_maestro.py to avoid failures when the file is missing. Impact: scalable, reliable batch experiments and faster onboarding for new users; demonstrated Python proficiency, SLURM scripting, and documentation practices.
Month 2025-05: Delivered SLURM array execution capability and a usage tutorial, enabling parallel runs with varying seeds and improved batch management. Fixed robustness issue by guarding slurm_output reads in check_maestro.py to avoid failures when the file is missing. Impact: scalable, reliable batch experiments and faster onboarding for new users; demonstrated Python proficiency, SLURM scripting, and documentation practices.
January 2025 MITIM-fusion monthly summary focusing on delivered features, fixed issues, and resulting business impact. Highlights include updated Shell Scripts Documentation, restoration of script runability by fixing a MAESTRO_workflow.py syntax error, and robustness improvements for folder deletion in TGYROtools.py. These changes improve automation, reliability, and onboarding efficiency, with measurable decreases in manual troubleshooting and downtime.
January 2025 MITIM-fusion monthly summary focusing on delivered features, fixed issues, and resulting business impact. Highlights include updated Shell Scripts Documentation, restoration of script runability by fixing a MAESTRO_workflow.py syntax error, and robustness improvements for folder deletion in TGYROtools.py. These changes improve automation, reliability, and onboarding efficiency, with measurable decreases in manual troubleshooting and downtime.
Month 2024-11 – MITIM-fusion: Implemented a unified pathlib-based path handling refactor across multiple workflows (TRANSP, MAESTRO, VITALS, EPEDbeat, MAESTRObeat, MAESTROplot, TRANSPbeat, PORTALSbeat). Replaced ad-hoc string joins with robust Path operations, improved CDF discovery, and strengthened cross-platform reliability and error handling to reduce path-related failures in data processing and plotting. Verified workflow execution paths and plotting readiness, setting the stage for more stable automation and reproducible results.
Month 2024-11 – MITIM-fusion: Implemented a unified pathlib-based path handling refactor across multiple workflows (TRANSP, MAESTRO, VITALS, EPEDbeat, MAESTRObeat, MAESTROplot, TRANSPbeat, PORTALSbeat). Replaced ad-hoc string joins with robust Path operations, improved CDF discovery, and strengthened cross-platform reliability and error handling to reduce path-related failures in data processing and plotting. Verified workflow execution paths and plotting readiness, setting the stage for more stable automation and reproducible results.
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