Lucas Meyer is a researcher and software engineer currently working at Polymathic AI, where he focuses on accelerating science using artificial intelligence and high-performance computing. He holds a PhD in computer science and applied mathematics from Université Grenoble Alpes, completed in partnership with INRIA and EDF, under the supervision of Bruno Raffin. His doctoral research centered on training deep learning models for large-scale numerical simulations. Before pursuing his PhD, Lucas worked in the space industry, including at the European Space Agency, developing software and deep learning methods for remote sensing. He holds an M.Sc. in computer science from Université de Montréal, where he worked on optimization software for robotic swarms with Giovanni Beltrame. He also graduated in software engineering and applied mathematics from École Nationale des Ponts et Chaussées.