Clement Rebuffel
Quantitative Researcher
Stony Stratford, England, United Kingdom
Summary
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Top SchoolClement Rebuffel is a quantitative researcher and PhD candidate specializing in deep learning for data-to-text generation, combining eight years of industry and research experience across BNP Paribas, G-Research and Sorbonne Université. He builds and evaluates neural systems that turn complex structured data into accurate, factual narratives, with a particular focus on preventing models from hallucinating unverifiable facts. Clement has bridged academia and enterprise—helping deliver company-wide search and translation platforms while publishing reproducible projects on GitHub and ArXiv. Trained at École Normale Supérieure and Paris Dauphine, he pairs strong mathematical foundations with practical engineering know-how demonstrated in production NLP tools. Fluent in English and French, he thrives on collaborative international research and has ongoing partnerships with teams in Turin and Aberdeen.
7 years of coding experience
4 years of employment as a software developer
Baccalauréat, Baccalauréat at Centre international de ValbonneDiplome d'Etablissement de Mathématiques et Informatique, appliqués à l'Économie et à l'Entreprise, Mathématiques et informatique, Diplome d'Etablissement de Mathématiques et Informatique, appliqués à l'Économie et à l'Entreprise, Mathématiques et informatique at Université Paris DauphineMaster's degree (M2), Mathematics, Machine Learning and Datascience., Master's degree (M2), Mathematics, Machine Learning and Datascience. at École Normale Supérieure Paris-Saclay
Github Skills (34)
neural-machine-translation10
hierarchical10
nlg10
natural-language-generation10
datasets10
speech10
evaluation9
translation9
pytorch9
multiclass-classification9
nlp9
computer-vision9
deep-learning8
pandas8
natural-language-processing8
Programming languages (3)
Github contributions (5)
KaijuML/data-to-text-hierarchical
Dec 2019 - Sep 2020
Code for A Hierarchical Model for Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; ECIR 2020)
Contributions:14 commits, 9 PRs, 39 pushes in 9 months
data-to-textnlgnatural-language-generationhierarchical-modelhierarchical
KaijuML/personal-website
Apr 2021 - Dec 2022
Contributions:48 pushes, 2 branches in 1 year 8 months
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