Guido Caldarelli
I studied Statistical Physics, and I work in the field of Complex Networks. I got my degree in 1992 in Rome (La Sapienza), my PhD in 1996 in Trieste (SISSA). After Postdocs in Manchester and Cambridge I became firstly "Research Assistant" in INFM and secondly "Primo Ricercatore" at ISC-CNR where I am still working with many friends and colleagues. Presently I am Full Professor of Physics at IMT Lucca, and a LIMS Fellow. From 2015 I am the Vice-President of the Complex Systems Society. From 2016 I am in the board of the SNP Division of European Physical Society |
Ágnes Horvát
Ágnes Horvát is an assistant professor at Northwestern University's School of Communciation. Her current research spans the areas of collective intelligence, crowdfunding, and the creative industries. Horvát’s work focuses on developing theory and methods for the study of complex networks at the intersection of computer science, physics, and social phenomena. Her interdisciplinary approach seeks to understand the behavior of connected crowds by building on techniques from network science, machine learning, statistics, and exploratory visualization. Before joining the School of Communication she was a post-doctoral researcher at the Northwestern Institute on Complex Systems (NICO). She earned a Ph.D. in Interdisciplinary Physics from Heidelberg University, Germany in 2013 and also holds a B.Sc. in Physics and Computer Science from the Babeș-Bolyai University, Romania and a B.A. in Photography, Film, and Media from the Sapientia University, Romania. |
Vito Latora
Vito Latora is professor of applied mathematics and head of the Complex Systems and Networks group at the School of Mathematical Sciences of Queen Mary University of London. Vito studies the structure and the dynamics of complex systems using his background as theoretical physicist and some of the methods proper to statistical physics and nonlinear dynamics to look into biological problems, to model social systems, and to find new solutions for the design of man-made networks. He is currently interested in the mathematics of multiplex networks, and is working with neuroscientists and with urban designers to understand the growth of networks as diverse as the human brain or the infrastructures of a city. |
Johan Bollen
Johan Bollen is associate professor at the Indiana University School of Informatics and Computing. He was formerly a staff scientist at the Los Alamos National Laboratory from 2005-2009, and an Assistant Professor at the Department of Computer Science of Old Dominion University from 2002 to 2005. He obtained his PhD in Experimental Psychology from the Vrije Universiteit Brussel (VUB) in 2001. He has published more than 75 articles on computational social science, social media analytics, informetrics, and digital libraries. His research has been funded by the NSF, IARPA, and Andrew W. Mellon Foundation. Johan lives in Bloomington, Indiana with his wife and daughter. In his free time he enjoys P90x and DJing in the local Bloomington clubs as DJ Angst (with his colleague E-trash aka Luis Rocha). |
Zoltan Toroczkai
Zoltan Toroczkai is a professor in the Department of Physics and a concurrent professor in the Department of Computer Science and Engineering at University of Notre Dame. He is a Fellow of the American Physical Society. His research interests lie in the areas of statistical physics, nonlinear dynamical systems and mathematical physics with applications to complex networks, foundations of computing, neuroscience, fluid flows, reaction kinetics, interface growth, population dynamics, epidemics, agent-based systems and game theory. |
Aniko Hannak
Aniko Hannak is currently a Postdoctoral fellow at the Center for Network Science at CEU Budapest. She recently received her PhD from Northeastern University advised by Alan Mislove and David Lazer, in the area of Computational Social Science. Her PhD work is investigating the issues raised by big data algorithms and personalization of online services. Currently her research focuses on the interactions of human and algorithmic biases in online social platforms, with developing technologies for measurement as well as methods to mitigate the discriminatory effects of such systems. |
Gourab Ghoshal
Gourab Ghoshal is Assistant Professor of Physics and Astronomy at the University of Rochester, with joint appointments at the departments of Computer Science and Mathematics. Gourab has a bachelor's and master's degree from the University of London, UK (BS and MSc in theoretical Physics, 2004) and did his doctoral-thesis work at the University of Michigan, Ann Arbor (PhD in Physics, 2009). Following his PhD, he was a postdoctoral scientist jointly at Northeastern University and Harvard Medical School as well as a visiting scientist at the Media Lab, MIT. Before his move to Rochester, Gourab spent 3 years at Harvard University, where he was a Research Scientist at the department of Earth and Planetary Sciences and a member of Harvard's multidisciplinary Origins of Life initiative. Gourab is trained as a Statistical Physicist and works in the field of Complex Systems. His research interests are in the theory and applications of Complex Networks as well as Non-equilibrium Statistical Physics, Game theory, Econophysics, Dynamical Systems and the Origins of Life. He is the editor of a book on Complex Networks (published by Springer) and his work has been published in Nature, Science and Physical Review Letters. |
Stasa Milojevic
Staša Milojević is an Associate Professor of Informatics in the School of Informatics and Computing, at Indiana University, Bloomington. Prof. Milojević received a PhD in Information Studies from University of California, Los Angeles. Her work covers a range of topics within the "science of science": dynamics of research teams, collaborative networks, formation and evolution of scientific fields, research metrics. Her work also focuses on developing novel methods of analyzing empirical data sets. More recently, she has started exploring the possibilities of using Twitter as a health study platform. |
Anastasios Noulas
Anastasios Noulas is a Lecturer at the Data Science Institute at Lancaster University, where he leads projects related to location-based technologies, mobile computing and complex social and technological systems. Anastasios completed his PhD in 2013 in the Network and Operating Systems group at the Computer Laboratory in the University of Cambridge. His main research interests include human mobility modelling, social network analysis, location-based services and disruptive technologies. During his PhD he has published at top-tier conferences and journals in the fields of data mining, online social systems and user behaviour modelling, combining machine learning and complex systems techniques. Prior to joining Lancaster University, Anastasios was also a Data Scientist at Foursquare Labs in New York and Telefonica Research, Madrid. Over the past years he has collaborated with a number of Start-Ups including retail analytics provider PiinPoint, whereas in 2015 he has teamed up with researchers in Cambridge and Belgium to launch the OpenStreetCab project. |
Giovanni Petri
Giovanni Petri currently is a Principal Researcher in the "Mathematics & Foundation of Complex Systems" Lab at ISI Foundation, where works on combining existing statistical mechanical techniques with recent developments in algebraic-topological tools for data analysis, with a particular focus on abnormal dynamics in structural and functional brain networks. He holds a PhD from Imperial College London, obtained under the supervision of Henrik J. Jensen and John Polak, in the Complexity and Networks group working on information and dynamics of traffic networks, and a MSc Theoretical Physics from the University of Pisa. |
Jörg Menche
Jörg Menche is a principle investigator at CeMM Research Center for Molecular Medicine in Vienna (Austria), working in the emerging field of network medicine. He studied physics in Leipzig, Berlin (Germany) and Recife (Brazil) and specialized in network analyses during his PhD at the Max-Planck-Institute for Colloids and Interfaces in Potsdam (Germany). He then went to work with one of the world’s leading experts in this field, Albert-László Barabási at Northeastern University in Boston (USA). Collaborating closely with Joseph Loscalzo from Harvard Medical School and Marc Vidal from Dana Farber Cancer Institute, he tried to lay out the basic theoretical framework for how protein-protein interaction networks can be understood as a map to study human disease. In 2015, Jörg Menche joined the faculty of CeMM in Vienna as an independent group leader and head of bioinformatics. |