Summary
Luc Demortier is a data scientist in New York with 11 years of experience applying rigorous statistical methods developed in experimental particle physics to real‑world data problems. A former contributor to the top quark and Higgs boson discoveries at Fermilab and CERN, he combines deep expertise in Bayesian analysis, p-value construction with nuisance parameters, and bootstrap techniques with practical data science—teaching, mentoring, and building reproducible projects. At The College Board he leverages this background to translate complex data into actionable insights and clear visualizations for non‑technical stakeholders. Comfortable with Python, SQL, D3 and NLP workflows from his Metis training, he uniquely pairs large‑scale, high‑stakes research experience with human‑scale product and educational work.
11 years of coding experience
20 years of employment as a software developer
Bachelor of Science, Physics, magna cum laude, Bachelor of Science, Physics, magna cum laude at University of Leuven
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Brandeis University
English, French, Dutch