Marc Barthelemy is a former student of the Ecole Normale Superieure of Paris. In 1992, he graduated at the University of Paris VI with a thesis in theoretical physics titled "Random walks in random media". After his thesis, Marc Barthelemy focused on disordered systems and their properties. Since 1992, he has held a permanent position at the CEA (Paris) and since 2009 is a senior researcher at the Institute of Theoretical Physics (IPhT) in Saclay and a member of the Center of Social Analysis and Mathematics (CAMS) at the Ecole des Hautes Etudes en Sciences Sociales (EHESS). His interests moved towards applications of statistical physics to complex systems, and he worked on complex networks, theoretical epidemiology, and more recently on spatial networks. Focusing on both data analysis and modeling, Marc Barthelemy is currently working on various aspects of the emerging science of cities.
Max Sklar is an engineer and data scientist at Foursquare since 2011. As part of the engineering team, Max has focused on using both machine learning and heuristics to build new features into the apps Foursquare and Swarm. His contributions include work on early versions of: the recommendation algorithm, venue ratings, the natural language processing stack, and our voting system for the crowd-sourced database. Max has spoken at a variety of conferences and meetups in the New York tech scene, and has been an adjunct instructor for NYU’s data structures course. He holds an M.S. in Information Systems from NYU, and a B.S. in Computer Science from Yale.
Daniele Quercia is a computer scientist, has been named one of Fortune magazine's 2014 Data All-Stars, and spoke about “happy maps” at TED. His research has been focusing in the area of urban informatics and received best paper awards from Ubicomp 2014 and from ICWSM 2015, and an honorable mention from ICWSM 2013. He was Research Scientist at Yahoo Labs, a Horizon senior researcher at the University of Cambridge, and Postdoctoral Associate at MIT. He received his PhD from UC London. His thesis was sponsored by Microsoft Research and was nominated for BCS Best British PhD dissertation in Computer Science.
Salvatore is a Senior Software Engineer at Google, where he leads mobile projects related to location inference and context-awareness, contributing to products with millions of users.
Salvatore completed his PhD in 2012 in the Network and Operating Systems group at the Computer Laboratory in the University of Cambridge. His main research interests include online social networks, location-based services, human mobility modelling and related software systems. During his PhD he has published in the fields of data mining, online social systems and user behaviour modelling. Salvatore was also a research intern at Google, and he joined the company full-time soon after completing his PhD.
Francesco Calabrese is an Advisory Research Staff Member at the IBM Research - Ireland center in Dublin, Ireland. Francesco manages the Smarter Urban Dynamics group, focusing on developing analytics and tools to better understand and optimize the urban dynamics.
He received the Laurea (BS and MS) degree in Computer Engineering, cum laude, in 2004, and the Ph.D. in Computer and System Engineering from the University of Naples Federico II, Italy, in 2007.He was research scientist and postdoctoral associate at the Massachusetts Institute of Technology from 2007 to 2010, where he leaded research in urban networks & society. His research interests include ubiquitous computing, intelligent transportation systems, urban dynamics analysis using digital traces.
Renaud Lambiotte is a Professor in the Department of Mathematics at the University of Namur, and Director of the Namur Center for Complex Systems. He received his PhD in Theoretical Physics from Université Libre de Bruxelles in 2004, and has been a Research Associate at ENS Lyon, Université de Liège, Université catholique de Louvain and Imperial College London. His research interests include network science, human mobility, data mining, stochastic processes, social dynamics and neuroimaging.
Anastasios is a Lecturer at the new 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 the sharing economy. 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.
Sergio Porta is Professor of Urban Design and Director of UDSU (Urban Design Studies Unit) at the Department of Architecture of the University of Strathclyde in Glasgow, UK. His recent research is on various aspects of Sustainable Urban Design, including: spatial networks analysis, urban morphology and evolution, masterplanning for change and Plot Based Urbanism, community design and construction & therapy. He has published over forty papers on international peer-reviewed journals and sits on the editorial boards of three leading journals of urban science and design.
Marta Gonzalez is an associate professor of Civil and Environmental Engineering of the Massachusetts Institute of Technology; she has joint appointments in the Center for Advanced Urbanism at MIT and the Operation Research Center. She joined MIT in July of 2009 after a postdoc in the Barabasi Lab and her PhD in Computational Physics from the University of Stuttgart in Germany (2006). Her research interests are focused on the analysis of vast data collections gathered from different human-driven activities and the formulation of models that elucidate the underlying principles of the observed scenarios. Marta has more of 4.5k citations and an h-index of 23. Se is area editor of the IEEE Big Data journal and organizer of the satellite Workshops in Urban Systems both at the NetSci and CCS. She leads various projects with direct impact in cities funded by governments and industry. Marta’s work pioneers urban scale models that inform decisions towards better cities, which look for alternative modes of transportation or more sustainable energy usage.
Vito Latora is professor of applied mathematics and the Head of the Complex
Systems and Networks Unit at the School of Mathematical Sciences of
Queen Mary University of London. He 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.