Konstantinos Chatzilygeroudis received the Integrated Master degree (Engineering Diploma) in computer science and engineering from the University of Patras, Patras, Greece, in 2014, and the Ph.D. degree in robotics and machine learning from Inria Nancy-Grand Est, France and the University of Lorraine, Nancy, France in 2018. From 2018 to 2020 he was a Postdoctoral Fellow with the LASA Team with the Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland. He is a recipient of an H.F.R.I. Grant for Post-doctoral Fellows (2022-2024): he is the Principal Investigator of the project "Novel Optimization Methods for Autonomous Skill Learning in Robotics" that is being implemented within the Department of Mathematics, University of Patras, Greece. From 2020 to 2023, he was teaching several undergraduate and post-graduate courses on Artificial Intelligence, Computer Science and Robotics at University of Patras, Greece. He has also co-supervised several undergraduate and master theses. He is currently serving as an Associate Co-Chair of the IEEE Technical Committee on Model-based Optimization for Robotics, while he has served as an Associate Editor for several years at the International Conference on Intelligent Robotics (IROS) and actively participated in the organization committee (as a Chair responsible for the virtual part of the conference) of the International Conference on Robot Learning (CoRL) 2021. His work has been published in top-tier journals and conferences in the fields artificial intelligence, machine learning and robotics, and he has received a Best Paper Award at GECCO 2022. He has also actively collaborated with industrial partners: he was the Leader of the R&D Computer Vision Team at Metargus, a pre-seed funded startup (based in Patras, Greece), and he is collaborating (as the Lead Robotics Engineer) with Ragdoll Dynamics (company based in London, UK). His research interests include the area of artificial intelligence and robotics, and focus on reinforcement learning, fast robot adaptation, evolutionary computation, autonomous skill discovery and learning, and combining traditional control methods with learning. He has participated in several research projects funded by the EU and the Greek government