Visiting PROFESSORS & Guest Scholars
Luca Avena received a M.Sc. in mathematics (cum laude) in 2006 from the University of Rome ROMATRE, after preparing a thesis under the supervision of Prof. F. Martinelli and Prof. P. Caputo. During his bachelor studies, he spent one year at the mathematics department in Granada (Spain). After completion of his master studies, Luca started a PhD programme at Leiden University (The Netherlands) under the supervision of Prof. F. den Hollander. In 2010 he defended his PhD thesis. After few years as post-doc at the University of Zürich (Switzerland) in the group of Prof. E. Bolthausen and at the WIAS institute of Berlin (Germany) in the group of Prof. W. König, since June 2014 he has been employed first as assistant professor and since 2020 as associate professor in Probability Theory at Leiden University. His main research activities focus on a number of topics in probability theory and statistical physics, e.g. random motion in random media, expansion methods and random graphs.
Nicola Dimitri is Professor of Economics at the University of Siena (Italy), Visiting Professor at the IMT School for Advanced Studies in Lucca (Italy) and Life Member of Clare Hall College (Cambridge-UK). He was formerly Deputy Rector of the University of Siena and Chair of the Economics Department. He has been Fulbright Student, Chevening Scholar, NATO-CNR and Fernand Braudel Fellow (EUI). He built up numerous years of academic and professional experience in Innovation Procurement, where he was initially involved because of his background in Microeconomics and Game Theory. A main experience in this area was as economic advisor of Consip, the Italian Procurement Central Purchasing entity. He has academic and professional experience in the economics of innovation, having served as economic advisor in an Innovation Park for Life Sciences in Siena, focused on incubating start-ups.
Hernán Makse currently serves as Professor of Physics at City College of New York, wherein he is responsible for the Complex Networks and Soft Matter lab at the Levich Institute. He is also a Member Affiliate, Attending Imaging Scientist, MSKCC Rank at Memorial Sloan Kettering Cancer Center. He holds a PhD degree in Physics from Boston University. He has been author of numerous publications on the theory of complex systems and the physics of soft materials and he is an APS Fellow. His research focuses on the theoretical understanding of Complex Systems from a Statistical Physics viewpoint. He is working towards the development of new emergent laws for complex systems, ranging from brain networks to biological networks and social systems. Treating these complex systems from a unified theoretical approach, he uses concepts from statistical mechanics, network and optimization theory, artificial intelligence, and big-data science to advance new views on complex systems and networks.
Professor Béla Bollobás FRS is the Jabie Hardin Chair of Excellence in Combinatorics at the University of Memphis, and a Fellow at Trinity College, Cambridge. Professor Bollobás is one of the world's leading mathematicians in combinatorics. He has a huge published output, which includes major contributions to many different branches of this very large area, such as random graphs, percolation, extremal graphs and set systems, isoperimetric inequalities. His main area of research is combinatorics, particularly in graph theory. The two areas that interest him most are extremal graph theory and random graph theory.
Professor Andrea Gabrielli is Associate Professor at the University of Rome ROMATRE. In recent years he collaborated to the development of the theory of Economic Complexity and studied the problem of reconstruction of complex networks from partial information which is of capital importance mainly in finance. He has a solid expertise in statistical physics of complex systems, stochastic processes and complex network theory. He is currently a researcher at CNR, a Visiting Professor at IMT School for Advanced Studies in Lucca, and at the Physics Department of the Boston University (MA, USA). He is author of more than 100 scientific publications on peer reviewed international journals and of one scientific book of statistical physics published by Springer (2004).
Antonio Scala PhD, is a theoretical physicist, he got a Master in Physics and Computer Science at the University of Napoli; thesis on Frustrated Percolation and Monte Carlo Dynamics (PRL). Research activity on Reaction-Diffusion systems (PRL), Complex Networks (PNAS) and Protein Folding (PRE, EPL). Teaching Quantum Mechanics, Experimental Physics, Introductory Physics. Ph.D. in Condensed Matter Physics, Boston University; thesis on Metastable Critical Points and Energy Landscapes (PRL, Nature).
Fabio Saracco has a Master's Degree in Theoretical Physics at the University of Florence, with a thesis on non-linear Cosmological perturbations. He obtained his Ph.D. in Theoretical Physics (String Theory) at the University of Milano Bicocca in 2013, with a thesis on the resolution of strings singularities with A. Tomasiello (INFN, and Physics Dep., University of Milano Bicocca). In 2013 he moved to Complex Systems research: at the Institute for Complex Systems (ISC-CNR, Sapienza Department, Rome), he worked on Economic Complexity, a brand new branch of economic analysis able to measure the productivity capabilities of different countries. In this period, in collaboration with Riccardo Di Clemente (ISC-CNR; MIT, Boston), Andrea Gabrielli (ISC-CNR; IMT School) and Tiziano Squartini (ISC-CNR; IMT School), Fabio developed an entropy-based method for network randomization for the special class of bipartite networks, with direct applications in Economic Complexity. Between October 2015 and May 2021, Fabio has been a senior researcher in the NETWORKS research unit at the IMT School in Lucca, working on evolving networks, non-linear algorithms and null models, with applications to online social networks, fake news, misinformation, ecological networks and trade networks. Since May 2021, he holds a senior research position at CNR-IAC, Italy.
Giovanni Petri is a Senior Research Scientist at the ISI Foundation in Turin, Italy. He is an expert in the theoretical and empirical analysis of complex systems, with an emphasis on the structural and temporal properties of networks with higher-order interactions and feedback dynamics. He has broadened his research to include the investigation of whole-brain activation patterns and the structure of task representation in cognitive systems, with particular reference to their topological structure, merging statistical physics approach, algebraic topology and data analysis. He is currently focusing on dynamical connectivity during resting state and tasks, aiming to build robust quantitative tools to be used as building blocks to develop biomarkers and as guiding principles to reverse-engineer functional connectivity dynamics.