Simone Scardapane is an Associate Professor at Sapienza University of Rome, with a focus on the design of efficient and explainable neural network models, topological and geometric deep learning, and continual learning, as well as their applications to scientific discovery, intelligent telecommunications, medicine, and environmental monitoring. He is an affiliate researcher at the National Institute for Nuclear Physics (INFN), a junior fellow at the Sapienza School for Advanced Studies, and a member of the National Inter-University Consortium for Telecommunications (CNIT) and the ELLIS society. Over the years he has been involved in several national and international projects on explainable and efficient models and industry partnerships, both as PI and as member. He is currently serving as action editor for Transactions of Machine Learning Research, and area chair for NeurIPS and ICLR. He has published more than 150 papers on international journals and conferences.