Silia Taider

ROOT Core Software Engineer at CERN

Meyrin, Geneva, Switzerland
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Summary

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Silia Taider is a ROOT Core Software Engineer at CERN with five years of hands-on experience building and refining Python interfaces and distributed data analysis tools for high-energy physics. She contributed a live visualization feature to the flagship ROOT project using Dask for real-time, distributed plotting and improved RDataFrame ergonomics, demonstrating both deep backend skills and user-focused design. A CPE Lyon graduate in Software Design and Big Data with additional training in workplace disability management, she blends technical rigor with inclusive practices. Her background includes making complex HEP frameworks thread-safe, modernizing testing infrastructures, and shipping CI and verification tooling in industry internships. Beyond code, she is an active youth and environmental organizer, leveraging international volunteer networks to promote SDGs and entrepreneurship.
code5 years of coding experience
job1 year of employment as a software developer
bookEngineering diploma - Masters, Software Design and big data - Digital science, Engineering diploma - Masters, Software Design and big data - Digital science at CPE Lyon
bookL2, Physics, L2, Physics at Université Claude Bernard Lyon 1
languagesFrench, Arabic, English, Japanese
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Github Skills (17)

data-visualizations10
root-view10
c-language10
visualization10
python10
data-visualisation10
graphic10
dask10
document-root10
cplus10
data-visualization10
cpp10
visualizations10
cprogramming-language10
data-analysis10

Programming languages (5)

JavaC++CSSJavaScriptPython

Github contributions (5)

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root-project/root

Jun 2023 - Mar 2025

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Role in this project:
userBack-end Developer
Contributions:5 reviews, 20 PRs, 8 pushes in 1 year 9 months
Contributions summary:Silia implemented a live visualization feature using the Dask backend for real-time data representation in the ROOT framework. They added a tutorial demonstrating the use of this feature, showcasing how to visualize histograms during distributed computations. Further contributions included adding functionality for `GraphAsymmErrors` to the DistRDF operations and implementing sorting for TGraph objects. They also added tests for unique variations of the result.
pythonroot-cernmathematicsc-plus-plusscientific-visualization
siliataider/root

Jul 2023 - Apr 2025

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Contributions:1 PR, 232 pushes, 18 branches in 1 year 8 months
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