Fabien Labernia
Data Scientist
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolFabien Labernia is a data scientist and AI research engineer based in Paris with a PhD in preference learning from Université Paris-Dauphine and eight years of experience bridging research and production. He designs interpretable, rule-based preference models (notably on CP-nets) and implements efficient learning algorithms that translate into real-world HR/skill-matching products. At WiserSKILLS he wears multiple hats: maintaining a Java/Spring SaaS, building Python/Django prediction services, coordinating client projects, and operating Docker/Kubernetes stacks with MySQL and ArangoDB. His background includes academic work on statistical models for implicit authentication and combinatorial algorithmics, giving him strong theoretical foundations that inform pragmatic engineering choices. Comfortable moving models from prototype to scalable deployments, he excels at making preference-driven systems auditable and usable by nontechnical stakeholders. Colleagues find his blend of formal research expertise and hands-on product engineering both rare and practical.
8 years of coding experience
Licence, Informatique, Reçu mention assez bien, Licence, Informatique, Reçu mention assez bien at Université Blaise Pascal (Clermont-II) - Clermont-FerrandDoctorat, Intelligence artificielle, Doctorat, Intelligence artificielle at Université Paris DauphineBaccalauréat scientifique, Mathématiques, Reçu, Baccalauréat scientifique, Mathématiques, Reçu at Lycée Saint-Pierre
Chinese, English, French
Github Skills (9)
jstree10
php10
federated10
owncloud9
backbonejs9
server-core9
javascript9
file-sharing9
self-hosting9
Programming languages (1)
Github contributions (4)
spykard/cp-networks
Jan 2018 - May 2018
Contributions:120 commits in 4 months
FabienLab/CPnets-McDiarmid
Jan 2018 - Jul 2019
Contributions:95 pushes, 1 branch in 1 year 6 months
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