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
Over a two-month period, contributed to the childhealthbiostatscore/CHCO-Code repository by developing five features focused on bioinformatics and statistical modeling for health outcome research. Work included integrating CKM-enabled metabolomics with TODAY study data, adding sex as a covariate in Cox and linear models, and configuring secure cloud storage access for dataset management. Enhanced autophagy gene lookup tools with updated data processing and missing-gene warnings, and extended gene signature analysis to incorporate outcome data for kidney research. Leveraged R programming, Cox regression, and data visualization to improve analytical pipelines, emphasizing reproducibility, maintainability, and collaborative data access without addressing major bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
5
Lines of code
3,731
Activity Months2
Your Network
61 peopleShared Repositories
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Casey SakamotoMember
ddelcastillofMember
hehampsonMember
hmangalapalliMember
Hailey HampsonMember
Hailey HampsonMember
Hailey HampsonMember
Hailey HampsonMember
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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