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Jing Wang

PROFILE

Jing Wang

Worked on the MITHIGAnalysis2024 repository to deliver distributed data processing and robust event selection for high-energy physics analysis. Developed Condor-based job submission workflows and enhanced input handling using C++ and bash scripting, enabling scalable processing of large datasets. Improved event selection logic and data quality by introducing configurable filters, new data branches, and multi-tier event rejection controls. Refactored code to support xrootd inputs and streamlined production readiness for 2025 data. Focused on maintainability by cleaning up testing environments and automating configuration discovery, resulting in more reliable, efficient analysis pipelines and smoother integration with distributed computing environments.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

12Total
Bugs
0
Commits
12
Features
8
Lines of code
4,694
Activity Months3

Work History

February 2026

7 Commits • 4 Features

Feb 1, 2026

February 2026 performance summary for ginnocen/MITHIGAnalysis2024: Delivered core improvements in high-frequency data handling, enhanced event rejection control, and expanded data processing capabilities, alongside a targeted cleanup of testing configurations. These changes improved data quality, processing efficiency, and maintainability, enabling more reliable physics analyses and smoother Condor-based workflows.

January 2026

2 Commits • 2 Features

Jan 1, 2026

January 2026 performance summary for ginnocen/MITHIGAnalysis2024: Delivered focused feature enhancements with configurability and data-quality improvements, fixed critical data-selection branch issues, and enhanced production readiness for 2025 data.

December 2025

3 Commits • 2 Features

Dec 1, 2025

December 2025 — Focused on delivering distributed data processing capabilities and robust input handling for the MITHIGAnalysis2024 pipeline. Implemented a Condor-based ForestReducer job submission workflow and enhanced Lc->pKs messenger with 2025 triggers and PID improvements. Also refactored I/O handling to support xrootd inputs via TFile::Open and streamlined PID initialization, laying groundwork for scalable, reliable distributed analysis in 2026.

Activity

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Quality Metrics

Correctness86.6%
Maintainability83.4%
Architecture83.4%
Performance81.6%
AI Usage30.0%

Skills & Technologies

Programming Languages

BashC++bash

Technical Skills

C++C++ developmentC++ programmingCommand Line ScriptingData AnalysisEvent SelectionSoftware Developmentbash scriptingdata analysishigh energy physicshigh-energy physicsjob schedulingroot frameworkshell scriptingsoftware development

Repositories Contributed To

1 repo

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

ginnocen/MITHIGAnalysis2024

Dec 2025 Feb 2026
3 Months active

Languages Used

C++bashBash

Technical Skills

C++ programmingdata analysisjob schedulingroot frameworkshell scriptingsoftware development