I am a machine learning scientist, a postdoctoral fellow and an adjunct lecturer at the
Department of Informatics, University of Athens and at the Archimedes AI unit/Athena RC.
Additionally, I am a founding member of
Visible Machines,
an Athens-based non-profit organisation that researches and informs on the social dimensions of Artificial Intelligence.
I obtained my PhD in computer science from
Imperial College London,
and my MEng in electrical and computer engineering from the
National Technical University of Athens.
Previously, I spent time at
Google DeepMind,
École Polytechnique Fédérale de Lausanne,
KU Leuven,
NCSR Demokritos and
Universitat Politècnica de Catalunya.
I conduct basic and applied research on several machine learning topics, particularly within
Geometric/Graph Deep Learning, where I design and theoretically analyse data-driven methodologies
for geometric and symmetric data, such as complex networks, physical systems, 3D objects and weight spaces.
Additionally, I study AI from a sociotechnical angle, with a particular focus on algorithmic auditing
and AI interpretability. My work has been published in leading conferences (NeurIPS, ICML, CVPR, ICCV, ECCV)
and journals (TPAMI), while I regularly engage in educational activities and academic service.
Scientific interests
- AI auditing - transparency, interpretability, trustworthiness
- Societal impact of AI
- Weight space learning
- Geometric deep learning
- Generative models & self-supervised learning
- ML for biology/chemistry