Dr. Panagiotis Krokidas is a physicist with an MSc and PhD in Computational Materials Chemistry, specializing in the intersection of Machine Learning and molecular simulations. Dr Krokidas has worked as a postdoc researcher in Sweden (Stockholm University) and in Qatar (Texas A&M University at Qatar). In 2020 he was awarded the Marie Sklodowska-Curie grant and returned in Greece to work on a project for an AI toolkit for the design of novel materials for energy applications (Institute of Nanoscience & Nanotechnology, NCSR “Demokritos”). Since 2022 he is working at Institute of Informatics & Telecommunications, as a member of the INSANE group. He explores AI-driven methods, including active learning and Bayesian optimization, to optimize the cost and efficiency of both in-vivo and in-silico experiments for advanced materials design.atural sciences, with a focus on inverse design methodologies.