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Daniel Barrow

PROFILE

Daniel Barrow

Worked on the MaCh3 and DUNE/MaCh3_DUNE repositories, delivering robust data analysis and simulation tooling for neutrino physics. Focused on C++ and CMake, the work included core integration, refactoring, and configuration management to streamline analysis pipelines and improve maintainability. Enhanced data handling by introducing dynamic histogram binning, encapsulated PDG mappings, and YAML-driven configuration, while strengthening CI/CD automation with GitHub Actions. Addressed performance and reliability by optimizing NuOscillator usage and safeguarding against missing covariance data. Emphasized code quality through linter compliance and documentation updates, resulting in cleaner builds, faster onboarding, and more reliable, scalable scientific computing workflows.

Overall Statistics

Feature vs Bugs

79%Features

Repository Contributions

94Total
Bugs
7
Commits
94
Features
26
Lines of code
333,224
Activity Months7

Your Network

54 people

Shared Repositories

49
Luke PickeringMember
Hank HuaMember
JudeMember
Henry WallaceMember
Kamil SkwarczynskiMember
Ben JargowskyMember
Henry WallaceMember
Henry WallaceMember
Henry WallaceMember

Work History

November 2025

1 Commits • 1 Features

Nov 1, 2025

November 2025 (2025-11) focused on strengthening CI/CD reliability and testing coverage for the MaCh3_DUNE project. Delivered automated workflows, improved governance around PRs, and added validation for event-rate projections, enabling earlier detection of regressions and faster release cycles. The work reduces maintenance toil, improves build stability, and supports scalable development as the project grows.

October 2025

1 Commits

Oct 1, 2025

October 2025: DUNE/MaCh3_DUNE CI stabilization focused on correcting input parameter casing for the actions/first-interaction workflow. The fix ensures the repository token and first-time issue/PR messages are parsed correctly, eliminating CI misconfigurations. This change reduces flaky builds and accelerates onboarding automation, enabling faster contributor feedback. Commit: 304b94a03dc60f0a2decc85f8e5a57cf1088f3a0.

June 2025

6 Commits • 2 Features

Jun 1, 2025

June 2025 MaCh3 monthly summary focusing on delivering robust data handling and reliable builds. Two primary work streams: (1) NuOscillator version bump for build reproducibility, and (2) extensive MC data handling and sample configuration enhancements to improve data integrity, analysis flexibility, and maintainability.

May 2025

4 Commits • 1 Features

May 1, 2025

May 2025 monthly summary for DUNE/MaCh3_DUNE: Delivered targeted code quality and configuration cleanup to improve maintainability and CI cleanliness. No functional changes were made; the work focused on linter compliance and repository hygiene, laying groundwork for smoother future development and faster CI feedback.

April 2025

6 Commits • 2 Features

Apr 1, 2025

April 2025 MaCh3 summary: Focused on performance, robustness, and release hygiene. Delivered NuOscillator handling improvements enabling Subsampling with EqualBinning, and shared NuOsc across samples to reduce overhead, with guard initialization when covarianceOsc is missing to prevent crashes. Completed maintenance: merged develop into main, bumped version to 1.4.9, and cleaned merge artifacts/logs. These changes improve runtime efficiency for NuOsc workloads, increase stability under missing covariance data, and provide a clean, production-ready main branch.

March 2025

12 Commits • 3 Features

Mar 1, 2025

March 2025 monthly summary for DUNE/MaCh3_DUNE: Delivered core enhancements to oscillation parameterization and beam sample management, enhanced configuration and project structure, and streamlined documentation. The work improves FD sample reliability, reduces configuration drift, and strengthens maintainability for ND/FD analyses. Key outcomes include alignment of ND/FD analysis pipelines, robust YAML-based oscillation support, and clearer setup processes that accelerate onboarding and reduces risk of misconfiguration.

February 2025

64 Commits • 17 Features

Feb 1, 2025

February 2025 monthly summary focusing on business value and technical achievements across DUNE MaCh3_DUNE, mach3-software/MaCh3, and mach3-software/MaCh3Tutorial. Key features delivered include core integration, data standardization, build/tooling improvements, and CUDA/NuOsc-enabled workflows. Cross-repo work enabled release readiness and more robust, scalable analyses.

Activity

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Quality Metrics

Correctness87.8%
Maintainability89.4%
Architecture86.0%
Performance79.6%
AI Usage20.2%

Skills & Technologies

Programming Languages

C++CMakeDoxyfileMarkdownShellTextYAMLcppyaml

Technical Skills

Analysis FrameworksBug FixingBuild System ConfigurationBuild System ManagementBuild SystemsC++C++ DevelopmentCI/CDCMakeCode AnalysisCode CleanupCode FormattingCode OrganizationCode RefactoringConfiguration

Repositories Contributed To

3 repos

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

mach3-software/MaCh3

Feb 2025 Jun 2025
3 Months active

Languages Used

C++CMakeYAMLDoxyfile

Technical Skills

Bug FixingBuild System ConfigurationBuild System ManagementBuild SystemsC++CI/CD

DUNE/MaCh3_DUNE

Feb 2025 Nov 2025
5 Months active

Languages Used

C++CMakeMarkdownShellYAMLcppyaml

Technical Skills

Analysis FrameworksBuild System ConfigurationBuild System ManagementBuild SystemsC++C++ Development

mach3-software/MaCh3Tutorial

Feb 2025 Feb 2025
1 Month active

Languages Used

C++CMakeTextYAML

Technical Skills

Build System ConfigurationC++C++ DevelopmentConfigurationConfiguration ManagementData Analysis