Adriano Barra is Associate Professor of Mathematical Physics at the Faculty of Engineering of Sapienza. He graduated in Physics (Theoretical) in 2004 in Sapienza and obtained a PhD in Mathematics (Applied) in 2009 at King's College (UK). He has participated as PI in national and European research projects (PRIN, FIRB, MEACI) and has coordinated national and local projects (GNFM, Sapienza). He has held post-graduate courses at Imerà (Marseille, FR), at the University of Salento (Lecce, IT) and has been an invited as a speaker at over 50 national and international conferences. He is a member of the Italian Mathematical Union (UMI) where he is a member of the Board of the Mathematics for Machine Learning group, member of the Doctoral College of the National Doctorate in Artificial Intelligence (Pisa, IT), member of the Istituto Nazionale d'Alta Matematica and of the Istituto Nazionale di Fisica Nucleare. He is one of the moderators of arXiv (Cornell University) and he plays as associate editor for the scientific journals "Neural Networks", "Journal of Computational Sciences" (Elsevier), "Scientific Repots" (Nature), "Europhys. Lett." (IoP). He has the "abilitazione scientifica nazionale" as full professor both in Mathematical Physics and in Biophysics and as associate professor in Theoretical Physics (Fundamental Interactions) and Theoretical Physics (Structure of Matter).
His main interests lie in the "statistical mechanics of complex systems" (i.e. "Parisi Theory") for which he develops theoretical lines (interpolative approaches à la Guerra, partial differential equations, cavity fields, etc.) and broad-spectrum applications, in particular to neural networks and machine learning and to systems at high biological complexity (e.g. lymphocyte networks, information processing in the cell).
Further information is available at his personal website: https://www.adrianobarra.com/