mcgoodman/widow-assessment-update
Sep 2025 – Apr 2026
5 Months active
Languages Used
MarkdownQMDRBibTeXPNGPython
Technical Skills
R programmingcontent editingdata analysisdata modelingdata visualizationdocumentation
Vlada Gertseva
PROFILE
Vlada Gertseva
Worked on the mcgoodman/widow-assessment-update repository, delivering end-to-end enhancements for fisheries stock assessment workflows. Over five months, contributed new features and documentation updates that improved onboarding, maintainability, and decision support. Applied R and Python programming to refine statistical modeling, data analysis, and visualization, including upgrades to biomass density modeling methods and retrospective recruitment diagnostics. Focused on reproducible research practices using Quarto/QMD, with clear commit-level traceability. Enhanced technical documentation and reporting, clarified model assumptions, and improved data storytelling for stakeholders. Addressed evolving requirements by updating model inputs, diagnostics, and executive summaries, ensuring robust, transparent, and future-proof assessment deliverables.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
93Total
Bugs
3
Commits
93
Features
36
Lines of code
2,426,874
Activity Months5
Your Network
98 peopleShared Repositories
13
agdedrickMember
alaiamMember
Alberto RovelliniMember
Maurice Codespoti GoodmanMember
iantaylor-NOAAMember
Kiva OkenMember
Laura.SpencerMember
Laura H SpencerMember
Megan FeddernMember
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: Updated Biomass Density Modeling Method by upgrading the sdmTMB references to the 2025 release in the widow-assessment-update project. This update ensures the latest statistical methods are used for biomass density modeling and aligns the report with current best practices. Commit a61fc62db2112df496ca4d26052b2caff607320c was used to implement the change, providing full traceability. Repository: mcgoodman/widow-assessment-update. No major bugs fixed this month; primary focus was delivering a robust, future-proof modeling update that enhances accuracy and maintainability.
1 Commits • 1 Features
Apr 1, 2026April 2026: Updated Biomass Density Modeling Method by upgrading the sdmTMB references to the 2025 release in the widow-assessment-update project. This update ensures the latest statistical methods are used for biomass density modeling and aligns the report with current best practices. Commit a61fc62db2112df496ca4d26052b2caff607320c was used to implement the change, providing full traceability. Repository: mcgoodman/widow-assessment-update. No major bugs fixed this month; primary focus was delivering a robust, future-proof modeling update that enhances accuracy and maintainability.
April 2026
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for mcgoodman/widow-assessment-update. Focused on adding a long-horizon visualization to support stock assessment decisions and clarifying the implications of data removal. Included targeted diagnostics updates to improve transparency and reproducibility. Demonstrated strong commit-level traceability and cross-team value through reproducible data visualization and interpretation artifacts.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for mcgoodman/widow-assessment-update. Focused on adding a long-horizon visualization to support stock assessment decisions and clarifying the implications of data removal. Included targeted diagnostics updates to improve transparency and reproducibility. Demonstrated strong commit-level traceability and cross-team value through reproducible data visualization and interpretation artifacts.
January 2026
4 Commits • 3 Features
Jan 1, 2026January 2026 – Monthly summary for mcgoodman/widow-assessment-update. Focused on delivering precise, decision-focused updates to the widow rockfish assessment. Key features delivered include: (1) executive summary updates reflecting the 2025 federal government shutdown’s impact on the review process and timeline, (2) refined interpretation of the stock–recruitment curve with environmental factors, and (3) updated widow rockfish age composition data and natural mortality (M) estimates to improve model reliability and alignment with the latest data. In addition, data quality improvements and clarifications to model results enhance transparency and credibility for stakeholders. Major fixes included corrections to data inputs (aging and M) to reduce mis-specification in the results. The work supports more reliable projections under environmental variability and clearer communication of uncertainties. Overall impact and accomplishments: Strengthened decision-support for management under shutdown timing uncertainty, improved reliability of recruitment and mortality estimates, and bolstered trust with stakeholders through reproducible QMD documentation and clear technical messaging. The month demonstrates end-to-end capability from data updates to publishable documentation, with an emphasis on business value and governance. Technologies/skills demonstrated: Quarto/QMD documentation, Git-based version control, data cleaning and model refinement, transparent communication of assumptions and uncertainties, and reproducible research practices.
4 Commits • 3 Features
Jan 1, 2026January 2026 – Monthly summary for mcgoodman/widow-assessment-update. Focused on delivering precise, decision-focused updates to the widow rockfish assessment. Key features delivered include: (1) executive summary updates reflecting the 2025 federal government shutdown’s impact on the review process and timeline, (2) refined interpretation of the stock–recruitment curve with environmental factors, and (3) updated widow rockfish age composition data and natural mortality (M) estimates to improve model reliability and alignment with the latest data. In addition, data quality improvements and clarifications to model results enhance transparency and credibility for stakeholders. Major fixes included corrections to data inputs (aging and M) to reduce mis-specification in the results. The work supports more reliable projections under environmental variability and clearer communication of uncertainties. Overall impact and accomplishments: Strengthened decision-support for management under shutdown timing uncertainty, improved reliability of recruitment and mortality estimates, and bolstered trust with stakeholders through reproducible QMD documentation and clear technical messaging. The month demonstrates end-to-end capability from data updates to publishable documentation, with an emphasis on business value and governance. Technologies/skills demonstrated: Quarto/QMD documentation, Git-based version control, data cleaning and model refinement, transparent communication of assumptions and uncertainties, and reproducible research practices.
January 2026
December 2025
54 Commits • 20 Features
Dec 1, 2025December 2025 monthly wrap-up for mcgoodman/widow-assessment-update: Delivered a comprehensive documentation refresh and model reporting upgrade across ES, data, model, and governance sections. Implemented structural enhancements (page breaks, table references, figure references fixed), expanded plotting visuals, and executed extensive text edits to improve clarity and consistency. Achieved improved traceability and readiness for executive review through consolidated updates and enhanced data storytelling.
December 2025
54 Commits • 20 Features
Dec 1, 2025December 2025 monthly wrap-up for mcgoodman/widow-assessment-update: Delivered a comprehensive documentation refresh and model reporting upgrade across ES, data, model, and governance sections. Implemented structural enhancements (page breaks, table references, figure references fixed), expanded plotting visuals, and executed extensive text edits to improve clarity and consistency. Achieved improved traceability and readiness for executive review through consolidated updates and enhanced data storytelling.
September 2025
32 Commits • 11 Features
Sep 1, 2025September 2025 monthly summary for mcgoodman/widow-assessment-update: Focused on organizational improvements and documentation modernization to accelerate onboarding, reduce support overhead, and improve maintainability. Delivered feature-level enhancements and a broad set of documentation updates across base descriptions, diagnostics, and bridging modules, accompanied by editorial refinements. No major bugs were logged this month. Business value: faster onboarding, clearer guidance for users and contributors, and improved traceability and maintainability through consistent commit practices.
32 Commits • 11 Features
Sep 1, 2025September 2025 monthly summary for mcgoodman/widow-assessment-update: Focused on organizational improvements and documentation modernization to accelerate onboarding, reduce support overhead, and improve maintainability. Delivered feature-level enhancements and a broad set of documentation updates across base descriptions, diagnostics, and bridging modules, accompanied by editorial refinements. No major bugs were logged this month. Business value: faster onboarding, clearer guidance for users and contributors, and improved traceability and maintainability through consistent commit practices.
September 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability92.6%
Architecture92.4%
Performance92.2%
AI Usage23.2%
Skills & Technologies
Programming Languages
BibTeXMarkdownPNGPythonQMDR
Technical Skills
Python programmingR programmingcontent editingdata analysisdata modelingdata visualizationdocumentationenvironmental sciencefisheries managementfisheries sciencefishery managementimage processingmarine biologymodelingreport editing
Repositories Contributed To
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