Ondrej is currently a second-year PhD student in Data Science at the University of Edinburgh. He works on efficient meta-learning, with applications to problems such as dataset distillation, domain generalization and cross-domain few-shot learning. He is broadly interested in various aspects of machine learning, including the underlying mathematical theory and applications of ML to domains such as computer vision or NLP. He is especially keen to collaborate on projects where meta-learning could unlock new opportunities.