Luc Brogat-motte
Chercheur Postdoctoral at Istituto Italiano di Tecnologia
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolLuc Brogat-motte is a machine learning postdoctoral researcher with nine years of experience specializing in statistical learning and continuous-time stochastic dynamical systems. Currently at Istituto Italiano di Tecnologia after a postdoc at CentraleSupélec, he develops novel estimation methods for controlled stochastic differential equations under the mentorship of leading theorists like Lorenzo Rosasco. He earned a PhD from Télécom Paris, with prior training at École Normale Supérieure Paris-Saclay and strong foundations from French preparatory classes, blending rigorous math with practical algorithmic insight. Luc’s work sits at the intersection of kernel methods and stochastic control, and he has a track record of moving theoretical tools toward applicable inference for dynamical systems. An often-overlooked strength is his sustained collaboration across European research labs, which gives him a rare ability to bridge deep theory with interdisciplinary engineering needs.
9 years of coding experience
Classe préparatoire aux grandes écoles MPSI/MP*, Mathématiques et Physique, Classe préparatoire aux grandes écoles MPSI/MP*, Mathématiques et Physique at Lycée Marcelin BerthelotFilière Sciences des données / Modélisation aléatoire et Calcul scientifique, Filière Sciences des données / Modélisation aléatoire et Calcul scientifique at Telecom ParisTechM2 MVA, Mathématiques / Vision / Apprentissage, Algorithmique - Machine Learning - Computer Vision, M2 MVA, Mathématiques / Vision / Apprentissage, Algorithmique - Machine Learning - Computer Vision at École Normale Supérieure Paris-SaclayProgramming languages (1)
Github contributions (5)
lmotte/graph-prediction-with-fused-gromov-wasserstein
Feb 2022 - Feb 2022
Contributions:36 commits, 2 pushes in 21 days
lmotte/metabolite-identification-with-fused-gromov-wasserstein
Feb 2022 - Mar 2022
Contributions:16 commits, 1 push in 1 month
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