childhealthbiostatscore/CHCO-Code
Jun 2025 – Jul 2025
2 Months active
Languages Used
R
Technical Skills
BioinformaticsData AnalysisData VisualizationDifferential Gene Expression AnalysisRR programming
Hailey Hampson
PROFILE
Hailey Hampson
During two months on the childhealthbiostatscore/CHCO-Code repository, H. Hampson enhanced single-cell RNA sequencing workflows for kidney organoid and biopsy analysis. Hampson refactored R scripts to streamline parallel processing, removed unnecessary library dependencies, and improved maintainability and reproducibility. Leveraging R and Seurat, they implemented glucose-based stratification for organoid samples, updated cell-type annotations, and refined marker gene usage to increase accuracy and cross-dataset comparability. Their work focused on modularizing code, standardizing annotation pipelines, and enhancing data visualization, resulting in clearer reporting and more reliable differential gene expression analysis. The contributions demonstrated depth in bioinformatics and robust data analysis practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
7,278
Activity Months2
Your Network
48 peopleSame Organization
@n3438.hyak.local1
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered scRNA-seq analysis enhancements for kidney organoids and biopsies in CHCO-Code. Implemented glucose-based organoid stratification (15 and 30), refactored cell-type annotations for organoid and biopsy subsets, updated marker genes and plotting for clearer visualization, and updated the R analysis script to harmonize annotations across datasets. Focused on improving accuracy, resolution, reproducibility, and cross-dataset comparability to support more reliable kidney disease insights.
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered scRNA-seq analysis enhancements for kidney organoids and biopsies in CHCO-Code. Implemented glucose-based organoid stratification (15 and 30), refactored cell-type annotations for organoid and biopsy subsets, updated marker genes and plotting for clearer visualization, and updated the R analysis script to harmonize annotations across datasets. Focused on improving accuracy, resolution, reproducibility, and cross-dataset comparability to support more reliable kidney disease insights.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary for childhealthbiostatscore/CHCO-Code: Focused on simplifying parallel processing and cleaning up library dependencies to improve maintainability, reproducibility, and development velocity. Delivered targeted code cleanups in Libraries.R and Liver_snRNAseq_Hyak.Rmd by removing unnecessary calls and the explicit BPPARAM argument, reducing configuration drift and potential errors. The changes reduce runtime overhead and make future enhancements safer and easier to implement.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary for childhealthbiostatscore/CHCO-Code: Focused on simplifying parallel processing and cleaning up library dependencies to improve maintainability, reproducibility, and development velocity. Delivered targeted code cleanups in Libraries.R and Liver_snRNAseq_Hyak.Rmd by removing unnecessary calls and the explicit BPPARAM argument, reducing configuration drift and potential errors. The changes reduce runtime overhead and make future enhancements safer and easier to implement.
Activity
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Quality Metrics
Correctness76.6%
Maintainability80.0%
Architecture73.4%
Performance66.6%
AI Usage33.4%
Skills & Technologies
Programming Languages
R
Technical Skills
BioinformaticsData AnalysisData VisualizationDifferential Gene Expression AnalysisRR programmingSeuratSingle-cell RNA sequencingSingle-cell RNA sequencing analysis
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