Published work in leading conferences (NeurIPS, ICML, CVPR, ICCV, ECCV) and journals (TPAMI). For example, 'Scale Equivariant Graph Metanetworks' accepted at NeurIPS 2024 for oral presentation, and 'Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses' accepted at ICML 2024.
Research Experience
Postdoctoral fellow at Archimedes AI unit and the University of Athens, and an adjunct lecturer at NCSR Demokritos. Previously worked at Google Deepmind, École Polytechnique Fédérale de Lausanne, KU Leuven, NCSR Demokritos, and Universitat Politècnica de Catalunya.
Education
PhD in Computer Science from Imperial College London; MEng in Electrical and Computer Engineering from the National Technical University of Athens.
Background
Machine learning scientist with research interests in Graph Neural Networks, Geometric Deep Learning, Weight Space Learning, Social Impact of AI, AI Auditing, Generative Models, and ML for Biology/Chemistry.
Miscellany
Regularly engages in educational activities and academic service.