childhealthbiostatscore/CHCO-Code
Jun 2025 – Jun 2025
1 Month active
Languages Used
RShell
Technical Skills
BioinformaticsData AnalysisData VisualizationGenomicsProteomicsR Programming
Hailey Hampson
PROFILE
Hailey Hampson
During June 2025, Hannah Hampson enhanced the childhealthbiostatscore/CHCO-Code repository by reorganizing Liver scRNA-seq data loading paths and improving repository structure to support more reliable data integration. She refactored R scripts to ensure accurate loading of Somalogic, clinical, and gene/protein data across proteomics and TEEN-LABS analyses, and introduced an R Markdown workflow for Hyak data processing. Leveraging R and Shell scripting, she prepared pseudotime analysis workflows with PCA and UMAP visualizations, streamlining dimensionality reduction and downstream analysis. Her work emphasized reproducibility, stability, and documentation, resulting in faster onboarding and improved cross-team collaboration without introducing new defects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
26,844
Activity Months1
Your Network
48 peopleSame Organization
@n3440.hyak.local1
Work History
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025 Monthly Summary — CHCO-Code: Delivered reliability-focused enhancements to Liver scRNA-seq data loading paths and repository organization, and prepared pseudotime analysis workflows with PCA/UMAP visualizations. Key features include fix/reorganize data loading for Somalogic, clinical, and gene/protein keys across proteomics, TEEN-LABS, and overlap analyses; add Hyak data processing R Markdown. No major defects reported; improvements reduce data-loading errors and accelerate downstream analyses. Business impact: more reliable data integration, quicker onboarding, and stronger cross-team collaboration. Technologies demonstrated: R scripting, data wrangling, PCA/UMAP, pseudotime prep, R Markdown, and robust repo organization.
3 Commits • 2 Features
Jun 1, 2025June 2025 Monthly Summary — CHCO-Code: Delivered reliability-focused enhancements to Liver scRNA-seq data loading paths and repository organization, and prepared pseudotime analysis workflows with PCA/UMAP visualizations. Key features include fix/reorganize data loading for Somalogic, clinical, and gene/protein keys across proteomics, TEEN-LABS, and overlap analyses; add Hyak data processing R Markdown. No major defects reported; improvements reduce data-loading errors and accelerate downstream analyses. Business impact: more reliable data integration, quicker onboarding, and stronger cross-team collaboration. Technologies demonstrated: R scripting, data wrangling, PCA/UMAP, pseudotime prep, R Markdown, and robust repo organization.
June 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture80.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
RShell
Technical Skills
BioinformaticsData AnalysisData VisualizationGenomicsProteomicsR ProgrammingSingle-cell RNA sequencingStatistical Modeling
Repositories Contributed To
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