childhealthbiostatscore/CHCO-Code
Nov 2025 – Mar 2026
3 Months active
Languages Used
RShellbash
Technical Skills
R programmingdata analysisdata manipulationstatistical modelingHigh Performance ComputingJob Scheduling
Tim Vigers
PROFILE
Tim Vigers
Over a three-month period, contributed to the childhealthbiostatscore/CHCO-Code repository by developing and enhancing R-based workflows for bioinformatics analysis. Delivered a LARC matching script that integrated LARC and EC data with age metrics, and later improved statistical matching by incorporating the MatchIt library, strengthening the reliability of downstream analyses. In March, focused on high performance computing by implementing an end-to-end kidney scRNA negative binomial mixed model analysis pipeline with parallel processing and SLURM job scheduling, while also introducing a single-threaded mode for compatibility. Work emphasized reproducibility, scalability, and maintainability, leveraging R, shell scripting, and advanced data manipulation techniques.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
4
Lines of code
201
Activity Months3
Your Network
185 peopleSame Organization
@uw.edu127
Shared Repositories
58
Shivani RameshMember
Casey SakamotoMember
ddelcastillofMember
hehampsonMember
hmangalapalliMember
Hailey HampsonMember
Hailey HampsonMember
Hailey HampsonMember
Hailey HampsonMember
Work History
March 2026
9 Commits • 2 Features
Mar 1, 2026During March 2026, CHCO-Code delivered a focused set of performance-oriented enhancements and bug fixes for the End-to-End Kidney scRNA Negative Binomial (NB) Mixed Model Analysis pipeline, with parallel processing and improved HPC workflows, plus environment-friendly configurability via a single-threaded mode. The work improved scalability, reproducibility, and deployment flexibility across HPC clusters, enabling larger analyses and clearer, memory-conscious outputs.
9 Commits • 2 Features
Mar 1, 2026During March 2026, CHCO-Code delivered a focused set of performance-oriented enhancements and bug fixes for the End-to-End Kidney scRNA Negative Binomial (NB) Mixed Model Analysis pipeline, with parallel processing and improved HPC workflows, plus environment-friendly configurability via a single-threaded mode. The work improved scalability, reproducibility, and deployment flexibility across HPC clusters, enabling larger analyses and clearer, memory-conscious outputs.
March 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 (CHCO-Code) focused on enhancing statistical matching capabilities for LARC analyses by integrating the MatchIt library into the existing R script. This feature delivery strengthens the matching quality and improves the reliability of downstream statistical inferences in the CHCO statistical workflow. There were no production bugs reported for this month; work prioritized feature delivery and code quality improvements over bug fixes. The integration lays groundwork for more robust, reproducible analyses and easier future extension of the LARC matching process.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 (CHCO-Code) focused on enhancing statistical matching capabilities for LARC analyses by integrating the MatchIt library into the existing R script. This feature delivery strengthens the matching quality and improves the reliability of downstream statistical inferences in the CHCO statistical workflow. There were no production bugs reported for this month; work prioritized feature delivery and code quality improvements over bug fixes. The integration lays groundwork for more robust, reproducible analyses and easier future extension of the LARC matching process.
November 2025
1 Commits • 1 Features
Nov 1, 20252025-11 Monthly Summary for CHCO-Code (childhealthbiostatscore/CHCO-Code).
1 Commits • 1 Features
Nov 1, 20252025-11 Monthly Summary for CHCO-Code (childhealthbiostatscore/CHCO-Code).
November 2025
Activity
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Quality Metrics
Correctness91.0%
Maintainability91.0%
Architecture89.2%
Performance91.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
RShellbash
Technical Skills
High Performance ComputingJob SchedulingR programmingSlurmbioinformaticsdata analysisdata manipulationjob schedulingparallel computingscriptingstatistical modeling
Repositories Contributed To
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