
Worked on the uhh-cms/cmsdb repository to expand and refine datasets for high energy physics analysis, focusing on Run 3 Monte Carlo samples and processes such as AZH, TTZ, and WWZ. Applied Python scripting and configuration management to deliver new datasets, update campaign configurations, and ensure accurate metadata and process identifiers. Emphasized code quality through consistent linting, formatting, and refactoring, improving maintainability and reducing regressions. Addressed bugs affecting data integrity and optimized data processing pathways for analytics readiness. The work supported scalable workflows and enhanced the reliability of scientific computing pipelines for physics analysis and dataset management within the CMSDB project.
January 2026 performance summary focusing on CMSDB: delivered WWZ Process Dataset Expansion and code quality improvements; improved dataset integrity and maintainability; laid groundwork for WWZ workflow scalability.
January 2026 performance summary focusing on CMSDB: delivered WWZ Process Dataset Expansion and code quality improvements; improved dataset integrity and maintainability; laid groundwork for WWZ workflow scalability.
December 2025: Focused work on the uhh-cms/cmsdb repository to improve TTZ data processing reliability and analytics readiness. Delivered a critical bug fix for TTZ dataset identifiers/keys and implemented configuration enhancements to broaden data processing coverage and accuracy for analysis.
December 2025: Focused work on the uhh-cms/cmsdb repository to improve TTZ data processing reliability and analytics readiness. Delivered a critical bug fix for TTZ dataset identifiers/keys and implemented configuration enhancements to broaden data processing coverage and accuracy for analysis.
In October 2025, the CMSDB work focused on expanding Run 3 MC coverage, finalizing azh campaign integration, improving code quality, and expanding Run 3 datasets for 2022/2023 campaigns. Key outcomes include delivery of Run 3 AZH MC samples across mediator masses (MA) and Higgs masses (MH), with configurations for pre- and post-B-Physics data taking; integration of the azh campaign with datasets and default cross-sections; resolution of a CMS init file newline regression; code linting to improve maintainability; and expansion of TTZ/TTW/DY and data_doublemu datasets with registrations and metadata updates. These efforts enhance Run 3 analysis readiness, data fidelity, and maintainability across the CMSDB repo.
In October 2025, the CMSDB work focused on expanding Run 3 MC coverage, finalizing azh campaign integration, improving code quality, and expanding Run 3 datasets for 2022/2023 campaigns. Key outcomes include delivery of Run 3 AZH MC samples across mediator masses (MA) and Higgs masses (MH), with configurations for pre- and post-B-Physics data taking; integration of the azh campaign with datasets and default cross-sections; resolution of a CMS init file newline regression; code linting to improve maintainability; and expansion of TTZ/TTW/DY and data_doublemu datasets with registrations and metadata updates. These efforts enhance Run 3 analysis readiness, data fidelity, and maintainability across the CMSDB repo.

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