
Worked on the DUNE/dunereco repository to enhance PFParticle classification and particle identification reliability in particle physics analyses. Over two months, addressed a misclassification issue by refactoring PFParticleUtils to leverage lar_pandora::LArPandoraHelper, improving track and shower detection accuracy. Further improvements included introducing association checks for PFParticles and renaming APIs for clarity, shifting from IsTrack/IsShower to HasTrack/HasShower. Emphasized code maintainability by adding Doxygen documentation and clarifying helper function roles. Utilized C++ for all development, focusing on code quality, data analysis, and software refactoring to ensure more robust and maintainable PFParticle handling throughout the codebase.
February 2026 monthly summary for DUNE/dunereco focused on strengthening PFParticle handling to improve PID reliability and API clarity, complemented by documentation and code quality improvements.
February 2026 monthly summary for DUNE/dunereco focused on strengthening PFParticle handling to improve PID reliability and API clarity, complemented by documentation and code quality improvements.
Sep 2025 monthly focus on stabilizing PFParticle classification in DUNE/dunereco. Implemented a bug fix by refactoring PFParticleUtils isTrack/isShower to use lar_pandora::LArPandoraHelper, correcting track/shower detection and improving particle ID accuracy. The change is recorded in commit 5a010acb5f31bb23341f3a75f79708e2cdb0a55a. Results: more reliable PFParticle classifications and improved downstream physics selections. Demonstrated skills: C++ refactoring, integration with LAr Pandora tooling, code quality and regression safety.
Sep 2025 monthly focus on stabilizing PFParticle classification in DUNE/dunereco. Implemented a bug fix by refactoring PFParticleUtils isTrack/isShower to use lar_pandora::LArPandoraHelper, correcting track/shower detection and improving particle ID accuracy. The change is recorded in commit 5a010acb5f31bb23341f3a75f79708e2cdb0a55a. Results: more reliable PFParticle classifications and improved downstream physics selections. Demonstrated skills: C++ refactoring, integration with LAr Pandora tooling, code quality and regression safety.

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