Gaël Beck

Militant Pour Un Monde Désirable at Self-employed

Strasbourg, Grand Est, France
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Summary

👤
Senior
🎓
Top School
Gaël Beck is a PhD-level data scientist and cofounder with a decade of experience building scalable distributed clustering and visualization systems in Scala and Apache Spark, primarily for healthcare applications. He bridged academic research at LIPN—with publications on distributed nearest-neighbor mean-shift and modal clustering for binary data—and product-grade engineering at HephIA and Kameleoon to ship performant, production-ready data mining pipelines. A frequent contributor to the widely used Smile machine learning library, he has implemented and refactored core clustering validation metrics such as normalized mutual information. Comfortable moving from low-level algorithmic improvements to large-scale system engineering, he blends rigorous research methods with practical software craftsmanship. Based in Strasbourg, he pairs technical depth with civic engagement and creative pursuits, from activist writing to performing politically charged rap. This combination of academic rigor, open-source impact, and social commitment shapes his approach to AI for real-world, high-impact problems.
code10 years of coding experience
job5 years of employment as a software developer
bookClasses préparatoires PCSI-PC, Classes préparatoires PCSI-PC at Kléber
bookMaster's degree, Data Sciences, Master's degree, Data Sciences at E.I.S.T.I
bookMaster 2 de recherche ISI, Informatique des Systèmes Intelligents, Datamining, Master 2 de recherche ISI, Informatique des Systèmes Intelligents, Datamining at Université Paris Dauphine
languagesEnglish, French
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Stackoverflow

Stats
842reputation
61kreached
15answers
58questions
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Github Skills (17)

data-science10
classification10
statistics10
machine-learning10
scala10
clustering10
regression8
rdd6
nlp6
datastax-enterprise6
amazon-ec26
mapreduce6
sbt6
java6
apache-spark6

Programming languages (6)

JavaShellScalaJavaScriptJupyter NotebookPython

Github contributions (5)

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haifengl/smile

Sep 2017 - May 2018

Statistical Machine Intelligence & Learning Engine
Role in this project:
userBack-end Developer & Data Scientist
Contributions:27 commits, 3 PRs, 11 comments in 7 months
Contributions summary:Gaël's commits focus on enhancing the `smile` repository, a machine learning and data science engine. The user implemented and refined mutual information calculations, including normalized mutual information, within the context of clustering validation. They refactored code, organized it into classes and traits, and refactored existing code to improve modularity. Additionally, the user's contributions involved core statistical and machine-learning functionality development.
orangepythonndarraymathematicamultidimensional-scaling
C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.
Contributions:243 commits, 19 PRs, 195 pushes in 2 years 10 months
spark-mlsparkclusteringjvmscala
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Gaël Beck - Militant Pour Un Monde Désirable at Self-employed