Vito Latora is Professor of Applied Mathematics, Chair of Complex Systems and Head of the Complex Systems and Networks Unit at the School of Mathematical Sciences of Queen Mary University of London. He is also Fellow of the Alan Turing Institute for Data Science, and External Faculty of the Complexity Hub Vienna.
He has expertise in complex systems, with particular focus on the analysis and modelling of complex networks. His current interests include time-varying and multiplex networks, and their applications to socio-economic systems and to the human brain.
Vito’s research has been supported by funding bodies including the EPSRC and the European Commission. In particular, he has been the scientific director of the EC-project LASAGNE (2012-15) involving 7 different European partners on the development of a novel mathematical framework for analysing and modelling dynamic multilayer networks.
Complex systems. Structure and dynamics of complex networks. Multiplex networks. Temporal networks. Social networks. Quantitative urbanism. Brain networks. The science of success.
Vito has co co-authored various edited volumes and more than 200 scientific publications including papers in Physical Review Letters, PNAS, Science, Nature Communications, Nature Human Behaviour, Scientific Reports, and the textbook “Complex Networks: Principles, Methods and Applications”, Cambridge University Press (2017).