Thijs Cornelissen
Data Analysis Assistant
Meyrin, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolThijs Cornelissen is a data analysis expert and former high-energy physics researcher with over a decade of experience building reliable, production-grade algorithms and data pipelines for international organizations including the UN, WHO and CERN. He combines deep statistical and machine learning know-how (neural networks, multivariate analysis) with hands-on software engineering in C++ and Python, and a proven track record of shipping performance-critical systems that became default production methods in ATLAS. At the UN and WHO he has led migrations, automated reporting and credibility, extraction and anomaly-detection projects, acting regularly as the technical bridge between teams and stakeholders. He is fast to learn, calm under pressure, and adept at coordinating small expert teams to turn complex domain knowledge into measurable operational improvements. One less obvious strength: his physics-rooted focus on robustness and calibration shows up in unusually rigorous data-quality and validation practices across his applied data science work.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), High energy physics, Doctor of Philosophy (Ph.D.), High energy physics at University of Amsterdam
Dutch, German, French, Spanish, Italian, English
Github Skills (2)
javascript4
dashboard3
Programming languages (1)
Github contributions (5)
WorldHealthOrganization/xform-covid-casecount-jhu
Feb 2021 - Jan 2023
Contributions:4 pushes in 1 year 11 months
WorldHealthOrganization/xform-covid-casecount-ecdc
Jan 2021 - Dec 2022
Contributions:7 pushes in 1 year 10 months
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