Mariana Vivas

Graduate Research Assistant

Hamburg, Germany
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Summary

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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.
code6 years of coding experience
job2 years of employment as a software developer
bookBachelor of Science - BS, Physics, 3.5, Cum Laude, Bachelor of Science - BS, Physics, 3.5, Cum Laude at Universidad Central de Venezuela
bookData Science, Data Science at Henry
languagesSpanish, English, French
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Github Skills (29)

data-science10
machine-learning10
atlas10
science10
datasets9
documentation-generator9
open-data9
cpp9
c-library8
visual-studio8
cmake8
windows8
jupyter8
setuptools7
pdf7

Programming languages (4)

CMakeTeXJupyter NotebookPython

Github contributions (5)

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MLGIdata/seismic-alerts

Nov 2022 - Dec 2022

Proyecto sobre alertas sismicas
Contributions:4 reviews, 91 commits, 13 PRs in 1 month
proyectopythonsobre
marianaiv/tesis_grado_UCV

May 2021 - Mar 2023

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
pythonproyectoalgoritmoslasmachine-learning
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Mariana Vivas - Graduate Research Assistant