
Worked on the mcgoodman/widow-assessment-update repository, delivering a robust data analysis and reporting framework for widow rockfish stock assessment over four months. Developed features such as leave-one-out analysis, expanded data governance, and spatial mapping of catch, using R and C++ for statistical modeling and data management. Migrated data pipelines from binary to CSV formats to improve accessibility and reproducibility, and enhanced model diagnostics and reporting accuracy. Integrated new data sources, refined model descriptions, and implemented confidentiality controls to support fisheries management decisions. Emphasized clear documentation, version control with Git, and reproducible workflows to ensure transparency and collaborative development.
September 2025 performance for mcgoodman/widow-assessment-update focused on advancing model robustness, data handling, and reporting to boost forecast reliability and decision support for widow rockfish management. Key work encompassed methodological refinements, data governance, and expanded documentation, all targeting clearer insights for stakeholders and reproducible workflows.
September 2025 performance for mcgoodman/widow-assessment-update focused on advancing model robustness, data handling, and reporting to boost forecast reliability and decision support for widow rockfish management. Key work encompassed methodological refinements, data governance, and expanded documentation, all targeting clearer insights for stakeholders and reproducible workflows.
August 2025 monthly summary focused on delivering a robust data-analysis framework and improving data accessibility for the Widow assessment project. The work centered on implementing a leave-one-out (LOO) analysis framework across MidwaterTrawl and HnL, migrating core data storage to CSV for easier access, and updating the forecast workflow to support LOO analyses.
August 2025 monthly summary focused on delivering a robust data-analysis framework and improving data accessibility for the Widow assessment project. The work centered on implementing a leave-one-out (LOO) analysis framework across MidwaterTrawl and HnL, migrating core data storage to CSV for easier access, and updating the forecast workflow to support LOO analyses.
May 2025: Delivered updated Widow Rockfish stock assessment executive summary for the 2025 cycle in mcgoodman/widow-assessment-update, integrating new data and refreshed model descriptions. Consolidated data sources and enhanced reporting accuracy across landings/discards, CPUE indices, recruitment narratives, discard estimation methods, spawning biomass projections, and corrected attainment reporting (ACL timing and values). Result: clearer, more actionable assessment with improved transparency and traceability.
May 2025: Delivered updated Widow Rockfish stock assessment executive summary for the 2025 cycle in mcgoodman/widow-assessment-update, integrating new data and refreshed model descriptions. Consolidated data sources and enhanced reporting accuracy across landings/discards, CPUE indices, recruitment narratives, discard estimation methods, spawning biomass projections, and corrected attainment reporting (ACL timing and values). Result: clearer, more actionable assessment with improved transparency and traceability.
February 2025 monthly summary for mcgoodman/widow-assessment-update. Focused on delivering the ASHOP Widow Assessment Data Expansion and strengthening data governance to enable scalable analytics and better decision support.
February 2025 monthly summary for mcgoodman/widow-assessment-update. Focused on delivering the ASHOP Widow Assessment Data Expansion and strengthening data governance to enable scalable analytics and better decision support.

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