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.
5 years of coding experience
1 year of employment as a software developer
Engineering diploma - Masters, Software Design and big data - Digital science, Engineering diploma - Masters, Software Design and big data - Digital science at CPE Lyon
L2, Physics, L2, Physics at Université Claude Bernard Lyon 1
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Role in this project:
Back-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.
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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