B.S. Physics - University of Perugia
M.S. Physics - University of Perugia
Ph.D. Theoretical Physics - MIT
Daniele is a physicist with research interests in data science and machine learning, including geometric deep learning, machine learning applications to computational physics problems, and natural language processing. Previously, he was a data scientist at Quid developing natural language processing algorithms. In his physics career he worked on mathematical and computational models for elementary particle physics and cosmology. He holds a PhD in theoretical physics from MIT and he was a physics postdoctoral fellow at UC Berkeley and Lawrence Berkeley Lab.