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Alfred Hubbard

PROFILE

Alfred Hubbard

Contributed to the PlasmoGenEpi/PGEcore repository by delivering three new features focused on improving usability and integration for genetic epidemiology workflows. Developed enhancements to the Dcifer wrapper, including a new single-locus allele frequency module and flexible data handling, while refining multi-locus allele frequency estimation through new R scripts and input validation. Updated naive frequency output estimators to streamline downstream analysis and onboarding. All work emphasized reproducibility, clear documentation, and robust data processing using R, JSON, and Markdown. During the following month, maintained repository stability and alignment with project standards, ensuring readiness for future development cycles without introducing new changes.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

10Total
Bugs
0
Commits
10
Features
3
Lines of code
285,753
Activity Months2

Your Network

14 people

Same Organization

@jh.edu
11
Andrew ZalesakMember
Chaichontat SriworaratMember
Xiaobei ZengMember
Lucia CilloniMember
TinkAnetMember
Melissa SchnureMember
NicholasMember
Ryan ForsterMember
Todd FojoMember

Work History

March 2026

Development Work

Mar 1, 2026

Month: 2026-03 — PGEcore (PlasmoGenEpi/PGEcore) delivered no new features or bug fixes in March 2026 based on the provided data. The month was focused on stabilization and readiness for upcoming work cycles, with no changes committed to PGEcore during this period.

February 2026

10 Commits • 3 Features

Feb 1, 2026

February 2026 (2026-02) monthly wrap-up for PlasmoGenEpi/PGEcore. Key features delivered include extensive usability and integration improvements to the Dcifer wrapper, a new Dcifer SLAF wrapper, and enhancements to multi-locus allele frequency estimation workflows. Also completed updates to naive frequency output estimators for better usability and downstream integration. These changes collectively strengthen end-to-end analysis, reproducibility, and data handling across loci and samples, enabling more accurate COI estimation and faster onboarding for new users.

Activity

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Quality Metrics

Correctness94.0%
Maintainability86.0%
Architecture88.0%
Performance86.0%
AI Usage24.0%

Skills & Technologies

Programming Languages

JSONMarkdownR

Technical Skills

R programmingbioinformaticsdata analysisdata processingdata validationdocumentationscript managementscriptingsoftware developmentstatistical modeling

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

PlasmoGenEpi/PGEcore

Feb 2026 Mar 2026
2 Months active

Languages Used

JSONMarkdownR

Technical Skills

R programmingbioinformaticsdata analysisdata processingdata validationdocumentation