Summary
Grégoire Burel is a research fellow and data scientist with 15 years applying machine learning and NLP to misinformation detection, crisis event extraction and question answering. At the Knowledge Media Institute he develops ML tools for Co-Inform and HERoS, maintains the Fact-checking Observatory, and previously contributed DL-driven Crisis Event Extraction Service (CREES) and the EnergyUse behavioural analytics platform. His PhD research produced novel methods for selecting best answers in Q&A communities using community features and structural optimisation, reflecting a strong blend of theory and applied system-building. He has a proven track record in EU-funded research (COMRADES, DecarboNet, ROBUST) and a history of designing ontological models and semantic visualisations from his time on the WeKnowIt project. Colleagues describe him as a hands-on researcher who moves smoothly between prototype code, operational platforms and academic publication.
14 years of coding experience
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at The Open University
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Université de Caen Normandie
Bachelor of Science (BSc), Mathematics and Computer Science, Bachelor of Science (BSc), Mathematics and Computer Science at Université Paris Descartes
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at The University of Sheffield
English, French, Spanish