My research interests include machine learning at various scales: continual learning on computationally constrained scenarios, self-supervised pre-training on large scale data and efficient semi-supervised fine tuning. I am really passionate about communicating ML research to a wide audience, so I have been organizing and hosting machine learning seminars and reading groups, gave talks and I have been a mentor at various summer schools.