Simone Scardapane
Associate Professor, Sapienza University of Rome
I work on neural networks that are efficient, explainable, and structured: conditional computation, graph and geometric deep learning, and interpretability, with applications in physics, telecommunications, medicine, and earth observation.
I teach neural networks and machine learning in the M.Sc. in Data Science, the M.Sc. in Artificial Intelligence and Robotics, and the B.Sc. in Telecommunication Engineering, and I wrote Alice's Adventures in a Differentiable Wonderland, an introduction to the design of neural networks.
Current roles
- Junior Research Fellow, Sapienza School for Advanced Studies
- Junior Member, Accademia di Ingegneria e Tecnologia (ITATEC)
- Area Chair, NeurIPS 2026 · ICANN 2026 · ICLR 2027
- Action Editor, TMLR · Associate Editor, Neural Networks
- Affiliate researcher, INFN · Member, ELLIS
- All roles and past activities →
Teaching this year
- Neural Networks for Data Science M.Sc. Data Science
- Neural Networks M.Sc. AI and Robotics, co-taught
- Fondamenti di Machine Learning B.Sc. Communication Engineering
- All courses and past editions →