Ambre Bourdier has a diverse academic and professional background in computer science and physics. As a Computer Science Engineering student at ESILV, Ambre developed a business model and prototype for a consulting startup focused on optimizing artificial neural network topologies, earning recognition as part of the winning team in a Start-Up Challenge. Prior experience includes serving as a Data Engineer and Business Intelligence Intern at Amazon for a brief period, and a Growth Engineer at AOS, where responsibilities involved lead generation and web app development. Additional research experience as an Undergraduate Student Researcher at Murugan Lab involved developing a simulation of a Morse-Smale Complex. Ambre's education includes degrees in Computer Science from ESILV and Physics from the University of Chicago and Pierre and Marie Curie University.