Marc Lelarge
About Marc Lelarge
Marc Lelarge is a Research Faculty at Inria and an Associate Professor at École normale supérieure in the Paris Area, France. He has extensive experience in academia and research, particularly in deep learning and data analytics.
Work at Inria
Marc Lelarge has been a Research Faculty at Inria since 2018. His role involves conducting advanced research in the field of data analytics and deep learning. He previously held a similar position at Inria from 2006 to 2016, contributing to various projects and initiatives during that time. His experience at Inria has allowed him to engage with cutting-edge research and collaborate with other experts in the field.
Education and Expertise
Marc Lelarge holds a PhD in Applied Mathematics from École Polytechnique, where he studied from 2001 to 2005. He also earned a Master’s Degree in Statistiques mathématiques et probabilités from Pierre and Marie Curie University in 2000-2001. Additionally, he obtained an Engineer’s Degree from Télécom Paris and another Engineer’s Degree from École Polytechnique. His educational background provides a strong foundation for his research and teaching roles.
Background
Marc Lelarge has a diverse professional background in academia and industry. He has worked as an Associate Professor at Ecole normale supérieure since 2017 and previously served as an Associate Professor at École Polytechnique from 2018 to 2023. His experience also includes roles as a Data Analytics Researcher at Safran and a Post-doctoral fellow at University College Cork. He has also contributed to research at IBM.
Contributions to Education
Marc Lelarge has developed educational resources on deep learning, which are available at dataflowr.com. These resources aim to enhance understanding and accessibility of deep learning concepts for students and professionals. His commitment to education is evident through his teaching roles and the materials he has created.
Open Source Contributions
Marc Lelarge actively contributes to open-source projects on GitHub under the username mlelarge. His involvement in open-source initiatives reflects his commitment to collaboration and knowledge sharing within the research community.