
Alexander Tiekoetter developed and integrated the ALICE3 Data Quality (DQ) data model and analysis workflows for the AliceO2Group/O2Physics repository. His work established new data structures and automated workflows in C++ to enable data quality checks and efficiency calculations, supporting the broader ALICE3 DQ integration. By focusing on data modeling and algorithm design, Alexander delivered a targeted, single-commit implementation that improved data quality visibility and reproducibility of QA signals. This foundation streamlines future deployment of ALICE3 DQ features and enhances the data-to-physics pipeline, demonstrating strong skills in C++, data analysis, and workflow automation within a collaborative software environment.

January 2026 (2026-01) monthly summary for AliceO2Group/O2Physics: The key feature delivered was the ALICE3 DQ data model and analysis workflows, enabling data quality checks and efficiency calculations. This work integrated the ALICE3 DQ data model into the repository via a single commit (f1979b53dc4e7c279781c1a888e0b3814d7fc0ed) associated with PR #14291. No major bugs were fixed this month. Impact: establishes the foundation for ALICE3 DQ integration, improves data quality visibility and QA automation, and strengthens the data-to-physics pipeline. Technologies demonstrated include data modeling, workflow design and automation, data quality analytics, efficiency computations, and strong version control.
January 2026 (2026-01) monthly summary for AliceO2Group/O2Physics: The key feature delivered was the ALICE3 DQ data model and analysis workflows, enabling data quality checks and efficiency calculations. This work integrated the ALICE3 DQ data model into the repository via a single commit (f1979b53dc4e7c279781c1a888e0b3814d7fc0ed) associated with PR #14291. No major bugs were fixed this month. Impact: establishes the foundation for ALICE3 DQ integration, improves data quality visibility and QA automation, and strengthens the data-to-physics pipeline. Technologies demonstrated include data modeling, workflow design and automation, data quality analytics, efficiency computations, and strong version control.
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