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Cole-Monnahan-NOAA

PROFILE

Cole-monnahan-noaa

Cole Monnahan contributed to the NOAA-FIMS/case-studies repository by developing and refining analytical workflows for fisheries stock assessment models over a three-month period. He integrated weights-at-age data and modularized the Pollock case study to align with FIMS v0.3.0.0, using R and TMB to enhance model structure and reproducibility. Cole expanded the documentation with advanced Bayesian inference and likelihood profiling, leveraging Quarto for clarity and extensibility. He also implemented advanced model evaluation tools, including conditional AIC calculation and effective degrees of freedom visualization, which improved model selection and interpretability. His work demonstrated depth in statistical modeling and reproducible research.

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

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