Luuk Vermunt
Senior Data Scientist
Utrecht, Utrecht, Netherlands
Summary
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Senior🎓
Top SchoolLuuk Vermunt is a Senior Data Scientist with nine years of experience applying advanced statistical analysis, machine learning, and DevOps practices to petabyte-scale experimental data, most recently at the Royal Netherlands Marechaussee. He holds a cum laude PhD and the ALICE Best PhD Thesis Award from work at CERN, where he led and coordinated a 50-person international analysis group and authored 10+ peer-reviewed publications. Technically fluent in Python, C++, XGBoost and PyTorch, he has built Bayesian inference tooling and ML-accelerated analysis frameworks used across large collaborations. Comfortable bridging research and operational teams, he combines rigorous scientific methods with production-oriented DevOps (Docker, GitHub Actions, Jenkins) to move models into practice. Outside work he channels discipline and resilience as a competitive triathlete and duathlete, a trait that surfaces in his collaborative leadership and sustained delivery under pressure.
9 years of coding experience
2 years of employment as a software developer
Master of Science (MSc), Experimental Physics, Final GPA: 4.0 (Final grade: 8.8), Master of Science (MSc), Experimental Physics, Final GPA: 4.0 (Final grade: 8.8) at Utrecht UniversityAtheneum, Natuur & Gezondheid, Natuur & Techniek with computer science, Atheneum, Natuur & Gezondheid, Natuur & Techniek with computer science at Canisius College Nijmegen
Dutch, English, German
Github Skills (12)
alice10
wolfram-language10
physics10
python10
charm5
high-energy-physics4
measurement4
statistics4
julia3
particle-physics3
particle3
momentum3
Programming languages (4)
Github contributions (5)
lvermunt/AliPhysics
Apr 2017 - Nov 2022
ALICE Analysis Repository
Contributions:1 PR, 139 pushes, 15 branches in 5 years 8 months
analysiswolfram-languagealice
lvermunt/MachineLearningHEP
Feb 2019 - Nov 2022
Contributions:213 pushes, 23 branches in 3 years 9 months
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