Speakers
Ginestra Bianconi
Ginestra Bianconi is Professor of Applied Mathematics at the School of Mathematical Sciences of Queen Mary University of London and Alan Turing Fellow at the Alan Turing Institute. In 2020 she received the Network Science Fellowship award. Her research activity on Network Science includes Network Theory and its interdisciplinary applications. She has formulated the Bianconi-Barabasi model that displays the Bose-Einstein condensation in complex networks. She has worked in network entropy and network ensembles and on dynamical processes on networks. In the last years she has been focusing on multilayer networks, simplicial network geometry and topology, percolation and network control.
Ginestra Bianconi has published more than 150 papers and her work has appeared in major scientific journals such as Science, Nature, PNAS, PRX and Physical Review Letters. She is the author of the book Multilayer Networks: Structure and Function by Oxford University Press.
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Bernat Corominas Murtra
Bachelor in Physics and Linguistics, Msc in Mathematics, Bernat Corominas-Murtra got the Phd in 2011 with Ricard Solé as advisor at the Universitat Pompeu Fabra, Barcelona. In 2012 moved to Vienna as a postdoc at the Medical University of Vienna, Section for Complex Systems and, from 2016 to 2018, he was also associated researcher at the Vienna Complexity Science Hub. He then moved as a postdoc to the Institute of Science and Technology Austria, centering his research activity towards theoretical biology and biophysics. Bernat Corominas-Murtra has published papers in a wide range of disciplines related to statistical mechanics of non-equilibrium systems, with special attention to biophysics, network theory and information theory. His recent activity has been focused to the theoretical exploration of different problems related to the dynamics of stem cells and embryo morphogenesis. From February 2021 he is Assistant Professor of Complexity at the Institute of Biology of the University of Graz.
Giovanni Petri
Giovanni Petri is a Senior Research Scientist in the "Mathematics and Complex Systems" lab of ISI Foundation since 2016, and a Guest Scholar at IMT Lucca since January 2021. He is a theoretical physicist that shortly after graduating decided that complex systems – in the broadest sense – were more intriguing than cosmology. He fell in love with the idea of high-order interactions, of emergent properties and ended up earning a PhD on complex networks at Imperial College London in 2012. Theoretical approaches never stopped fascinating him, and he continues this research today working at the interface between complex systems and algebraic topology. His research spans the analysis of neuroimaging data and AI systems with topological techniques, the formalization of cognitive control models with tools of statistical mechanics and network theory, and the study of the predictability of socio-technical systems.
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James P. Sethna
James Sethna has made substantive contributions to many fields -- glasses and spin glasses, dynamical systems and chaos, liquid crystals, crackling noise, plasticity, fracture, information geometry, and the renormalization group. He is the author of "Statistical Mechanics: Entropy, Order Parameters, and Complexity", a textbook which he says is a distillation of the most generally useful ideas in the subject. He is professor of physics at Cornell University.
Edoardo Balzani
Edoardo Balzani is a Postdoctoral Researcher in the Savin Lab at New York University’s Center for Neural Science. His interests lie at the intersection of mathematics and neuroscience. In particular, he focuses on the development and application of statistical tools in the analysis of complex behavioral and electrophysiological data. He received a PhD in neuroscience from the Italian Institute of Technology in 2017 and a master’s degree in mathematics from Università Degli Studi di Milano. Edoardo is currently focused on the statistical modeling of neutral activity and its application to naturalistic behavioral tasks.
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