Batiste Le Bars

Batiste Le Bars

Postdoctoral Researcher @ Inria

About Batiste Le Bars

Batiste Le Bars is a postdoctoral researcher currently working at Inria in Ville de Paris, France. He has a strong academic background in applied mathematics and machine learning, having completed his PhD at École normale supérieure Paris-Saclay.

Work at Inria

Batiste Le Bars currently serves as a Postdoctoral Researcher at Inria, starting in 2023. His role is based in Ville de Paris, Île-de-France, France. Prior to this position, he worked at Inria from 2021 to 2023 as a Postdoctoral Researcher in Lille, Hauts-de-France, France. His involvement at Inria contributes to ongoing research in applied mathematics and machine learning.

Education and Expertise

Batiste Le Bars has a strong academic background in applied mathematics and machine learning. He obtained his Doctor of Philosophy (PhD) in Applied Mathematics from École normale supérieure Paris-Saclay, where he studied from 2017 to 2020. Prior to his PhD, he completed a Master’s degree in Mathématiques Vision Apprentissage (MVA) at the same institution from 2015 to 2016. He also holds a Master 1 in Mathématiques Appliquées à l'Economie et la Finance (MAEF) from Université Paris 1 Panthéon-Sorbonne, achieved in 2014-2015.

Background

Batiste Le Bars began his academic journey at Université Paris 1 Panthéon-Sorbonne, where he earned a Licence de Mathématiques Appliquées et Sciences Sociales (MASS) from 2011 to 2014. He transitioned to École normale supérieure Paris-Saclay for advanced studies, focusing on applied mathematics. His research interests include machine learning, which he has pursued throughout his academic and professional career.

Previous Experience

Before his current role at Inria, Batiste Le Bars held multiple positions related to research and development. He worked as a PhD Candidate at École normale supérieure Paris-Saclay from 2017 to 2021 and briefly as a Postdoctoral Researcher at the same institution in 2021. Additionally, he served as a PhD Candidate at Sigfox from 2017 to 2020 and completed a Research Internship at Sigfox in 2016.

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