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Jonny Pearson

PROFILE

Jonny Pearson

Jonathan Pearson developed and enhanced documentation-driven features for the nhsengland/datascience repository, focusing on improving accessibility, reproducibility, and knowledge transfer across clinical informatics and healthcare AI projects. He structured and authored Markdown and YAML-based documentation for initiatives such as directed hypergraph analysis, MedCAT, process mining with PM4Py, and multimodal AI fairness, clarifying methodologies and privacy considerations. Jonathan also delivered a detailed article on quantum computing use-cases in healthcare, ensuring content quality and readability. His work demonstrated depth in technical writing, content management, and data science, supporting onboarding, cross-team collaboration, and the discoverability of complex research outputs.

Overall Statistics

Feature vs Bugs

92%Features

Repository Contributions

25Total
Bugs
1
Commits
25
Features
11
Lines of code
484
Activity Months3

Work History

June 2025

3 Commits • 1 Features

Jun 1, 2025

June 2025: Delivered the NQCC Hackathon article, including the evolution of use-cases from bed optimization (2022) to route optimization (2023) and A&E forecasting (2024), with a preview of the upcoming 2025 submission. Also completed content rendering and quality fixes to improve readability and accuracy, ensuring the introductory text is shown before the 'more' tag, reinserting the intro paragraph, updating the article date, and correcting punctuation.

January 2025

19 Commits • 7 Features

Jan 1, 2025

January 2025 monthly summary for the nhsengland/datascience repository set. Focused on delivering comprehensive documentation enhancements across multiple projects to improve clarity, structure, and governance. The work enhances onboarding, cross-team collaboration, and discoverability of methodologies and privacy considerations across data science initiatives.

December 2024

3 Commits • 3 Features

Dec 1, 2024

December 2024 monthly summary for nhsengland/datascience focusing on documentation-driven deliverables that improve accessibility, reproducibility, and knowledge transfer for directed hypergraph research related to temporal disease analysis and open-source experimentation.

Activity

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Quality Metrics

Correctness94.4%
Maintainability94.4%
Architecture90.4%
Performance88.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownYAML

Technical Skills

Clinical InformaticsContent ManagementData AnalysisData ScienceDocumentationExplainable AI (XAI)Fairness in AIGraph TheoryHealthcare AIHealthcare TechnologyMedCATMultimodal AINamed Entity RecognitionNatural Language ProcessingPM4Py

Repositories Contributed To

1 repo

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

nhsengland/datascience

Dec 2024 Jun 2025
3 Months active

Languages Used

MarkdownYAML

Technical Skills

Data ScienceDocumentationGraph TheoryTechnical WritingClinical InformaticsContent Management

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