PhD. Laure Bourgois
About PhD. Laure Bourgois
Laure Bourgois is an R&D engineer specializing in artificial intelligence, currently serving as a training manager at Inria and as a consultant at Codataschool in Paris. She holds a PhD in computer science and has extensive experience in programming, machine learning, and big data technologies.
Current Role at Inria
PhD. Laure Bourgois serves as Ingénieure R&D Spécialisée IA and Responsable formation IA at Inria since 2023. In this role, she focuses on research and development in artificial intelligence, contributing to the advancement of AI technologies and methodologies. Her responsibilities include overseeing training programs related to AI, ensuring that the latest developments in the field are effectively communicated and taught.
Experience at Codataschool
Since 2017, PhD. Laure Bourgois has worked at Codataschool as Conseil Administration. Her role involves providing guidance and support in the areas of artificial intelligence and data training. Based in Paris and its surrounding areas, she has contributed to the growth of educational programs aimed at enhancing skills in AI and data science.
Previous Employment History
PhD. Laure Bourgois has a diverse employment history in research and development. She worked at Logilab as Ingénieur R&D from 2008 to 2010. Additionally, she held a position at Eurobios Mews Labs for four months in 2013. Her tenure at IFSTTAR from 2010 to 2012 as Chargée de recherche involved significant research contributions. Earlier, she was an Attachée Temporaire d'Enseignement et de Recherche at University Paris 13 from 2006 to 2007.
Educational Background
PhD. Laure Bourgois completed her PhD in computer science at Université Paris 13 from 2003 to 2007. She also earned a Master’s degree in DEA Intelligence Artificielle et Optimisation Combinatoire from the same university in 2002-2003. Additionally, she studied at University of Paris I: Panthéon-Sorbonne, achieving a Maîtrise de Philosophie in Sociologie politique and a Maîtrise in logic and foundations of computer science.
Technical Skills and Expertise
PhD. Laure Bourgois possesses expertise in various programming languages, including Python, C#, C, Java, Scala, PHP, Prolog, and XML. She has advanced skills in machine learning frameworks such as Tensorflow and Scikit-learn. Her experience extends to big data technologies like Neo4J and Hadoop, as well as web and mobile development using Java and JavaScript frameworks. She employs agile methodologies in project management, enhancing efficiency and collaboration.