Sean Benson
Assistant Professor at Amsterdam UMC
Amsterdam, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolSean Benson is an Assistant Professor and applied AI researcher with over a decade of experience building production ML systems across particle physics, healthcare, and enterprise consulting. He has transitioned research-grade solutions from CERN and Nikhef—where he created key software for LHCb data workflows—into clinical AI projects at Amsterdam UMC focused on digital twins and synthetic datasets for cardiology. As a founder in NVIDIA Inception and principal consultant at Self Reliant Labs, he helps organisations deploy private models, cut cloud costs, and upskill teams in data fluency and modern ML stacks. His background combines deep physics-driven algorithmic thinking (PhD) with hands-on MLOps, cloud deployment, and education partnerships (Udacity, DataCamp), reflecting a rare mix of research, productisation, and teaching. Unusually for an academic, he still fights fires as a volunteer firefighter, showing a practical, service-oriented mindset alongside his technical leadership.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Particle Physics, Doctor of Philosophy (Ph.D.) Particle Physics at The University of EdinburghQueen Elizabeth's Grammar School, FavershamMaster of Science (MSci) Mathematics and Physics, Master of Science (MSci) Mathematics and Physics at King's College London
Spanish, English, French, Dutch
Stackoverflow
121reputation
2kreached
7answers
0questions
Github Skills (14)
mass10
feature-selection9
foundation8
pytorch6
docker6
machine-learning6
scipy6
tensorflow6
python6
talos6
numpy6
scikit-learn5
flask-api1
flask1
Programming languages (2)
Github contributions (5)
nki-radiology/dtor
Feb 2021 - Jul 2024
Torch-based feature extraction
Contributions:1 release, 3 reviews, 1 PR in 3 years 5 months
extractionfeature-extractionfeature-basedtorchtsne
scikit-hep/NNDrone
Nov 2017 - Sep 2022
Collection of tools and algorithms to enable conversion of HEP ML to mass usage model
Contributions:20 commits, 14 PRs, 88 pushes in 4 years 11 months
machine-learningscikit-learnhephep-mlfeature-selection
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