Pavel Jež
Head Of Medical Data Analytics
Brussels, Brussels-Capital, Belgium
Summary
👤
Senior🎓
Top SchoolPavel Jež is a healthcare data leader and NLP expert with 12+ years of experience applying big data, machine learning and natural language processing to clinical problems, now heading Medical Data Analytics at Cliniques universitaires Saint‑Luc. He built and led the NLP platform at LynxCare to extract structured clinical insights from unstructured dossiers, enabling hospitals to automate reporting, boost research output and better assess patient risk. Trained as a particle physicist (PhD) and experienced in LHC experiments, he combines rigorous quantitative methods with practical data governance and privacy-first deployment in hospital settings. Known for bridging clinical, operational and technical teams, he focuses on scalable infrastructure, responsible AI and preparing organizations for frameworks like the EHDS. Pragmatic and research-driven, he leverages his physics background to solve noisy, high-stakes data problems that span care and research.
12 years of coding experience
14 years of employment as a software developer
Master's Degree Mathematical physics, Master's Degree Mathematical physics at Czech Technical University in PragueDoctor of Philosophy (PhD) Experimental Particle Physics, Doctor of Philosophy (PhD) Experimental Particle Physics at Københavns Universitet - University of CopenhagenMaster of Science (MS) Elementary Particle Physics, Master of Science (MS) Elementary Particle Physics at Durham University
English, Czech, French, Dutch, German
Github Skills (29)
data-labeling10
cms10
labeling10
label10
image-classification10
annotations10
semantic-segmentation10
standardized10
text-annotation10
datasets10
annotator10
backbonejs10
label-studio10
cockpit10
computer-vision10
Programming languages (3)
Github contributions (5)
KaveIO/AmbariKave-azure-templates
Jun 2016 - Mar 2017
Contributions:127 commits, 4 PRs, 80 pushes in 9 months
jpavel/lcm
Jul 2015 - Jul 2015
Contributions:8 pushes, 2 branches in 13 days
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