childhealthbiostatscore/CHCO-Code
Mar 2026 – Apr 2026
2 Months active
Languages Used
R
Technical Skills
Cox regressionR programmingbioinformaticsbiostatisticscloud storage integrationdata analysis
Kristen Miller
PROFILE
Kristen Miller
Kristen Campbell developed and extended analytical features for the childhealthbiostatscore/CHCO-Code repository over two months, focusing on integrating CKM-enabled metabolomics data with TODAY study outcomes and enhancing autophagy gene signature analysis. She implemented R-based Cox regression and multistate modeling, adding sex as a covariate to improve health outcome analyses. Kristen configured secure cloud storage access for dataset collaboration and updated gene lookup tools with new scoring and missing-gene warnings. Her work unified outcome data with gene signature analysis to clarify diabetes and SGLT2 inhibitor effects on kidney outcomes, demonstrating depth in R programming, bioinformatics, and statistical modeling without major defect reports.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
5
Lines of code
3,731
Activity Months2
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53 peopleShared Repositories
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Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for CHCO-Code: Delivered an Autophagy Gene Signature Outcome Analysis Extension by integrating outcome data into the gene signature analysis, enabling clearer assessment of diabetes and SGLT2 inhibitor effects on kidney outcomes. This enhancement deepens analytical capability for kidney-related research and supports data-driven decision-making. No major defects reported; ongoing validation and stakeholder readiness.
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for CHCO-Code: Delivered an Autophagy Gene Signature Outcome Analysis Extension by integrating outcome data into the gene signature analysis, enabling clearer assessment of diabetes and SGLT2 inhibitor effects on kidney outcomes. This enhancement deepens analytical capability for kidney-related research and supports data-driven decision-making. No major defects reported; ongoing validation and stakeholder readiness.
April 2026
March 2026
13 Commits • 4 Features
Mar 1, 2026March 2026 monthly summary for CHCO-Code repository: Delivered CKM-enabled metabolomics integration with TODAY data, added sex as a covariate in statistical models, configured Kristen Miller CKM dataset path access, and enhanced autophagy gene lookup with updated data processing and missing-gene warnings. No major bugs fixed this month; reliability improvements accompany feature work. The work strengthens CKM-driven analytics for the TODAY study, improves health outcome modeling, and enables secure, reproducible data access and collaboration. Technologies demonstrated include R-based survival and Cox modeling, multistate modeling, data integration pipelines, Quarto/Markdown updates, and cloud storage path configuration.
March 2026
13 Commits • 4 Features
Mar 1, 2026March 2026 monthly summary for CHCO-Code repository: Delivered CKM-enabled metabolomics integration with TODAY data, added sex as a covariate in statistical models, configured Kristen Miller CKM dataset path access, and enhanced autophagy gene lookup with updated data processing and missing-gene warnings. No major bugs fixed this month; reliability improvements accompany feature work. The work strengthens CKM-driven analytics for the TODAY study, improves health outcome modeling, and enables secure, reproducible data access and collaboration. Technologies demonstrated include R-based survival and Cox modeling, multistate modeling, data integration pipelines, Quarto/Markdown updates, and cloud storage path configuration.
Activity
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Quality Metrics
Correctness85.8%
Maintainability84.2%
Architecture84.2%
Performance82.8%
AI Usage25.8%
Skills & Technologies
Programming Languages
R
Technical Skills
Cox regressionR programmingbioinformaticsbiostatisticscloud storage integrationdata analysisdata visualizationstatistical modeling
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