Luiss Rector Andrea Prencipe is Professor of Organization and Innovation. From 2016 until 2018, Professor Prencipe acted as Luiss Deputy Rector: "I chose Luiss because it is a university that is open to the world and international. It is also open to the world of institutions and business."
Gianni Riotta is Director of the Luiss School of Journalism and the Luiss Data Lab, he teaches at Princeton University and is an editorialist at La Stampa as well as a member of the Council on Foreign Relations. "The two guiding principles in my life are reason and passion”.
Professor Francesco Lippi is Professor of Monetary Economicsin the Luiss Department of Economics and Finance. "You must believe in yourself. The most important ingredient to success is hard work.
Professor Sergio Fabbrini is Director of the Luiss Department of Political Science where he has taught Political Science and International Relations for nearly 10 years. "Life is a truly interesting thing, both the life of the mind and the body.
Professor Giorgio Di Giorgio is Deputy Rector of Organization and Faculty at Luiss where he teaches Monetary Theory and Policy. “My greatest passion is life itself.”
Professor Mark Thatcher teaches Cultural Heritage Policy in Europe at LUISS: a fascinating field that recognizes the importance of cultural heritage non just in terms of identity but also in terms of economics”
Roberto Pessi is Vice Rector of Teaching and Professor of Labor Law with the Department of Law. “I consider myself a lucky Professor because all of my life has been marked by great changes”.
Professor Giovanni Fiori is LUISS Vice Rector of Corporate Relations and Professor of Accounting with the Department of Business and Management. “In the first years of my academic career, I decided to dedicate myself to a theme that was very important at the time: the relationship between accounting and law”.
Professor Giuseppe Italiano teaches Computer Science at in the LUISS Department of Business and Management.
An algorithm inventor and scientist specialized where computer science and machine learning meet.