Sol Benkel

PHD Student at DESY

Berlin, Germany
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Summary

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Senior
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Top School
Sol Benkel is a PhD student and multidisciplinary researcher based in Berlin with 9 years of experience blending experimental physics, data science, and software engineering. Holder of MSc degrees in both Physics and Computer Engineering, he has built production-grade HEP analysis and detector alignment software, optimized reconstruction algorithms, and deployed ML-driven solutions for particle and astrophysics projects. His recent work includes neural-network online reconstruction for an EIC dRICH detector and Bayesian regression for RR Lyrae labeling, alongside teaching and open-source contributions to CLAS12 toolsets. Equally comfortable in C, C++, Java, and Python, he has a track record of shipping applied research—ranging from EPICS slow controls and ventilator R&D during COVID to blockchain and IoT integrations—that reveals a talent for translating academic methods into resilient, real-world systems.
code9 years of coding experience
job1 year of employment as a software developer
bookIBM Professional Certificate in Machine Learning, Computer Science, IBM Professional Certificate in Machine Learning, Computer Science at Coursera
bookMaster's degree, Physics, Master's degree, Physics at Universidad Técnica Federico Santa María
languagesEnglish, Spanish, Norwegian, Chinese, Italian
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Github Skills (20)

icecube8
fmt8
particle-physics8
text-editor8
high-energy-physics7
monte-carlo7
detector6
ssa6
kernel-module6
astrophysics6
tablet5
kernel5
quality-assurance5
rust-lang5
fmi4

Programming languages (6)

JavaC++CRustMathematicaJupyter Notebook

Github contributions (5)

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bleaktwig/bash-stuff

Jan 2019 - May 2023

Contributions:16 pushes, 1 branch in 4 years 4 months
Acceptance study for CLAS12 with FMT included
Contributions:18 reviews, 24 PRs, 154 pushes in 2 years
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Sol Benkel - PHD Student at DESY