Mariana Albornoz is a doctoral researcher in experimental particle physics based in Hamburg with six years of experience bridging high-energy research, detector construction, and data science. At DESY and previously at CERN she has worked on searching for long-lived dark matter signatures in ATLAS and helped build the ITk inner tracker for the HL-LHC upgrade, while also driving ATLAS Open Data efforts by publishing and documenting complex collision datasets. Her background includes applied machine learning and data engineering—ranging from predictive tax models and transfer-learning for molecular toxicity to teaching data science bootcamps—so she moves comfortably between physics analysis and production-ready data tools. Mariana combines rigorous experimental skills with practical open-science practice, having developed bespoke formats for heavy-ion data releases that enable broader reuse. Colleagues describe her as equally at home debugging detector hardware or producing clear documentation that makes high-energy data accessible to non-experts.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Physics, 3.5, Cum Laude, Bachelor of Science - BS, Physics, 3.5, Cum Laude at Universidad Central de Venezuela
Proyecto final de grado sobre la búsqueda de nueva física en eventos dijet utilizando técnicas de ML: evaluación comparativa de algoritmos de clasificación desarrollados en las olimpiadas LHC 2020.
Contributions:14 PRs, 291 pushes, 21 branches in 1 year 9 months
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