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About me

I am a tenure-track assistant professor at Sapienza University of Rome (Ricercatore a Tempo Determinato di Tipo B). My research interests include the design of efficient and explainable neural network models, topological and geometric deep learning, and continual learning, as long as their applications to scientific discovery, intelligent telecommunications, medicine, and environmental monitoring.

I teach Neural Networks for Data Science Applications in the M.Sc. in Data Science (see a draft of my lecture notes), co-teach Neural Networks in the M.Sc. in AI and Robotics and the M.Sc. in Computer Engineering, and Fundamental of Machine Learning in the B.Sc. in Telecommunication Engineering. I have also held PhD courses on reproducibility, explainability, and continual learning.

If you are looking for research collaborations, PhD opportunities, or thesis supervision, feel free to contact me at any moment (links in the left bar). I try to answer all emails in (max) a few days.

I am an affiliate researcher at the National Institute for Nuclear Physics (INFN) and a member of the National Inter-University Consortium for Telecommunications (CNIT) and the ELLIS society. I am involved in several national and European projects, as the PI of two active Sapienza grants (DESMOS and CENTS), co-PI of MUCCA (Chist-ERA project on explainable AI for scientific discovery), task leader in 6G-GOALS (SNS-JU project on goal-oriented communications) and WP leader in RELAY (a project on relational deep learning for energy management funded by the Research Council of Norway).

Between 2017 and 2021, I was involved in several no-profit machine learning activities: I co-founded and chaired the Italian Association for Machine Learning (now closed), co-organized the Rome Machine Learning & Data Science Meetup, and co-hosted the Smarter Podcast. I was also a machine learning Google Developer Expert. Apart from here, you will find me mostly on Twitter / X, where I tweet about papers and ideas that spark my interest.

If you want to learn more about what I do, the website contains (decently updated) lists of all my academic activities, courses, publications, presentations, and grants.

Current PhD students (supervised or co-supervised)

Additional team members

Past students (supervised or co-supervised)