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Cole-Monnahan-NOAA

PROFILE

Cole-monnahan-noaa

Worked on the NOAA-FIMS/case-studies repository, delivering three features over three months focused on fisheries modeling and analysis. Developed and integrated weights-at-age data into the Pollock case study, refactoring the model setup with wrapper functions in R to improve modularity and reproducibility. Enhanced documentation by restructuring case studies into core and advanced sections, adding Bayesian inference and likelihood profiling using Quarto and R. Implemented advanced model evaluation tools, including conditional AIC calculation and effective degrees of freedom visualization, leveraging TMB and R. The work emphasized maintainability, analytical extensibility, and robust model selection for mixed-effects fisheries science applications.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
1,169
Activity Months3

Work History

April 2025

1 Commits • 1 Features

Apr 1, 2025

Concise monthly summary for NOAA-FIMS/case-studies (2025-04): Focused on delivering a robust model evaluation and selection framework with clear business value for NOAA case studies.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025 monthly summary for NOAA-FIMS/case-studies focused on delivering modular documentation enhancements and expanding analytical capabilities. Key feature delivery reorganized the GOA Pollock case study into core and advanced features, introducing an advanced-features.qmd with sections for Bayesian integration and likelihood profiling to extend analytical capabilities and improve documentation clarity.

January 2025

1 Commits • 1 Features

Jan 1, 2025

January 2025 monthly summary for NOAA-FIMS/case-studies: Pollock Case Study updated to FIMS v0.3.0.0 integration with weights-at-age data and wrapper-based model setup; R scripts adjusted to run FIMS via the power user interface; refactored model setup to use wrapper functions; aligned with latest release for compatibility and reproducibility.

Activity

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Quality Metrics

Correctness86.6%
Maintainability83.4%
Architecture86.6%
Performance63.4%
AI Usage26.6%

Skills & Technologies

Programming Languages

C++MarkdownR

Technical Skills

Bayesian InferenceData AnalysisData VisualizationFIMSFisheries ScienceLikelihood ProfilingModel EvaluationQuartoR ProgrammingStatistical ModelingTMBTMB (Template Model Builder)

Repositories Contributed To

1 repo

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

NOAA-FIMS/case-studies

Jan 2025 Apr 2025
3 Months active

Languages Used

C++RMarkdown

Technical Skills

FIMSFisheries ScienceR ProgrammingStatistical ModelingTMBBayesian Inference