Giorgos Bouritsas is a machine learning scientist, a postdoctoral fellow and an adjunct lecturer at Archimedes/Athena RC, the Department of Informatics/University of Athens and NCSR Demokritos. He is also a member and co-founder of Visible Machines, an Athens-based non-profit organisation that researches and informs on the social dimensions of Artificial Intelligence. He obtained his PhD in Computer Science from Imperial College London and his MEng in Electrical and Computer Engineering from the National Technical University of Athens. Previously, he spent time at Google Deepmind, École Polytechnique Fédérale de Lausanne, KU Leuven, NCSR Demokritos and Universitat Politècnica de Catalunya. He conducts basic and applied research on several machine learning topics, particularly within Geometric/Graph Deep Learning, where he designs and theoretically analyses data-driven methodologies for geometric and symmetric data, such as complex networks, physical systems, 3D objects and weight spaces. Additionally, he studies AI from a sociotechnical angle, with a particular focus on algorithmic auditing and AI interpretability. His work has been published in leading conferences (NeurIPS, ICML, CVPR, ICCV, ECCV) and journals (TPAMI), while he regularly engages in educational activities and academic service.
