Paolo is currently Applied Data Science Manager at the ISI Foundation, in Torino.
He is physicist by training owning a PhD in Physics from the University of Aix-Marseille, a Master in Epidemiology from the University of Turin and a Master in Data Engineering at the Politecnico of Turin.
During his research activity focused on large-scale simulations of infectious disease spreading in human and animals, network science, mobility models and the analysis of digital traces caracterizing human mobility. As a consultant in the IT sector, he has been involved in data-intensive projects for large multinational companies.
His work focuses on bridging the gap between Data Science Research and Industry needings, developing analytic processes and tools to provide actionable knowledge to corporate partners.
Ciro Cattuto is a physicist who leads the Data Science Laboratory of the ISI Foundation, a leading research center in the domain of complex systems and networks in Turin, Italy. His undergraduate and doctoral training are in Statistical and Computational Physics. During his PhD he worked as a software engineer for companies and startups based in Italy, California and Germany. He carried out post-doctoral research at the University of Michigan (USA), at the Frontier Research System of RIKEN (Japan) and at the Enrico Fermi Center in Roma. His work focuses on measuring and modeling complex phenomena in socio-technical systems, with applications to social media, social networks, epidemiology and public health. He is a founder of the SocioPatterns project and is a member of the editorial board of the EPJ Data Science Journal.
Alex Comunian is a Computer Engineer, #Developer, Code #Ninja, #Scrum Master & Teacher @top_ix. He has strong experience in software and web development, software architecture design and project management with good experience in data analysis. In the past years he worked with 50+ startups, providing development and technical support in different software languages, platforms and technologies.
He attended BIG DIVE as a student in the second edition and he is now teacher in the fifth edition of the course.
Fabio is a computational designer and a founding partner at ToDo. He has always been involved in creative processes, ranging in fields from music to design, passing through performing and generative arts. One day he discovered the potential of programming as a medium and unconventional tool for his creative purposes. He explores ideas through evolving processes, often finding unexpected, meaningful outcomes and new aesthetics.
Laetitia Gauvin completed her master at Imperial College, London and at the Centre de Physique Théorique, Marseille. She then pursued a PhD (defended in October 2010) on the study of socio-economic systems using tools from statistical physics at the Laboratoire de Physique Statistique (LPS) of the Ecole Normale Supérieure in Paris. As a postdoctoral researcher, she has then been involved in the project Dyxi dealing with Urban Collective Dynamics: Individual and Spatial Heterogeneities. She is now a postdoctoral researcher at the ISI Foundation in Turin and works in particular on the SocioPatterns project. Her research interests focus on the study of socio-economic systems with an approach involving data mining, network science, statistical physics analysis and numerical simulations. She recently focused on the applications of tensor factorization to data mining.
Python developer since 2001 has always been interested in Python as a Web Development Platform.
He is currently a core developer of the TurboGears2 framework and has collaborated with various python projects related to web development like , FormEncode, ToscaWidgets, the Sprox Widget Generation Library and the Ming MongoDB ORM. Partner and CTO at Axant.
Digital Rights and Free Software hacktivist since always,
Puria started Axant to ban those bad patterns learned and experienced in fortune 200 companies.
Deep technical background and a curious hackish attitude helps him to be a smart problem solver and a great question maker!
André Panisson is a Researcher at the Data Science Laboratory of the ISI Foundation in Turin, Italy. He received his MSc in Computer Science in 2007 from the Federal University of Rio Grande do Sul (Brazil) and his PhD in Computer Science from the University of Turin (Italy) in February 2012. In 2010 he started to contribute to Gephi, an open-source software for visualizing and analyzing large networks graphs, in the context of the Google Summer of Code program, in which he recently participated as a mentor. He has contributed to a variety of open source projects, including the Twitter Elephant Bird library. His work focuses on the development of tools to measure, analyze, model and simulate the behavior of complex techno-social systems.
Nicolò Bidotti is a Big Data Engineer at Agile Lab in Turin, Italy where he has worked on several machine learning projects in an enterprise environment.
Passionate about all things technology since he was a kid, his main focuses are Deeplearning, Blockchain and BigData technologies.
He is the author of SparkSearch, an open source library that brings distributed information retrieval capabilities to Spark.
Francesco Bonchi is Research Leader at the ISI Foundation, where he’s the head of the “Algorithmic Data Analytics” group. He is also (part-time) Principal Scientist for Data Mining at Eurecat (Technological Center of Catalunya), Barcelona. Before he was Director of Research at Yahoo Labs in Barcelona, Spain, where he was leading the Web Mining Research group.His recent research interests include mining query-logs, social networks, and social media, as well as the privacy issues related to mining these kinds of sensible data. In the past he has been interested in data mining query languages, constrained pattern mining, mining spatiotemporal and mobility data, and privacy preserving data mining.
He is member of the ECML PKDD Steering Committee, Associate Editor of the newly created IEEE Transactions on Big Data (TBD), of the IEEE Transactions on Knowledge and Data Engineering (TKDE), the ACM Transactions on Intelligent Systems and Technology (TIST), Knowledge and Information Systems (KAIS), and member of the Editorial Board of Data Mining and Knowledge Discovery (DMKD).He has been program co-chair of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010). Dr. Bonchi has also served as program co-chair of the 28th ACM Conference on Hypertext and Hypermedia (HT 2017), the 16th IEEE International Conference on Data Mining (ICDM 2016), the first and second ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007 and 2008), the 1st IEEE International Workshop on Privacy Aspects of Data Mining (PADM 2006), and the 4th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2005). He is co-editor of the book “Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques” published by Chapman & Hall/CRC Press.
Marco Didonna is a Big Data Engineer at Agile Lab in Milan. He has worked on several big data projects involving the design and development of scalable analytics infrastructures.
He teaches a course on Spark for the corporate customers of Agile Lab. He’s also the community manager for Agile Lab Milan and the co-organizer of the “Apache Spark & More” Milan meetup.
He’s very passionate about technology since young age and his focuses also include distributed software architectures and streaming analytics.
Vittorio has over twenty years of experience in natural language processing and computational linguistics. He is co-founder and CEO of CELI, Language and Technology, a company specialized in automatic language analysis technology.
Free software and digital freedoms activist.
Enrico Ferro is the head of the Innovation Development Area at Mario Boella Institute (ISMB), a multidisciplinary team of twenty researchers working on the strategic, socioeconomic and policy implications of information and communication technologies. Over the last ten years Dr. Ferro has worked in many projects financed by the European Commission with roles ranging from scientific supervisor to senior expert. Dr. Ferro also covers an adjunct professor position at the Polytechnic of Turin and at the International Labour Bureau of the United Nations where he regularly lectures on innovation management in both the public and the private sector. His research work has produced over forty academic publications, one handbook of research and over fifty research reports.
Maarten Lambrechts is a data journalist, data designer and visualization consultant. After graduating as a Master in Bio-engineering and spending some years working as an engineer and economist in Belgium and Latin America, he turned to journalism. He started experimenting with data journalism and data visualization at Belgian monthly magazine MO* and was later hired as a data and multimedia journalist by Mediafin, the publisher of Belgian newspapers De Tijd and L’Echo.
Maarten is now a freelance data visualization designer, trainer and keynote speaker. His work is featured in some of the reference books in the field, was shortlisted in various visualization competitions and even won some awards.
Alessio Melandri is full stack developer at Synapta in Turin, company specialized in the semantic Web and data driven applications.
He has experience as programmer, in particular on the linked data stack.
The larger part of his projects involves working with data, refining, quering, providing visualizations and evaluating its quality. He has also experience in the open data field collaborating to Wikipedia, Wikidata and OpenStreetMap and he is a fellow of the Nexa Center for Internet and Society at Politecnico di Torino.
Machine learning researcher with focus on language. Completed a PhD on question answering at the University of Bari, Italy, were he founded QuestionCube, a startup working on semantic search. He worked for Yahoo Labs in Barcelona on learning to rank, for IBM Watson in New York on natural language processing with deep learning and then joined Geometric Intelligence, where he worked on grounded language understanding. He is now a research scientist at Uber AI Labs in San Francisco.
Antonio Vetrò is Director of Research at the Nexa Center for Internet and Society at Politecnico di Torino (Italy). Formerly, he has been research fellow in the Software and System Engineering Department at Technische Universität München (Germany) and junior scientist at Fraunhofer Center for Experimental Software Engineering (MD, USA). He holds a PhD in Information and System Engineering from Politecnico di Torino (Italy).
He is specialised in empirical methodologies and statistical analyses, applying such an empirical epistemological approach to study the impact of technology on society. After working for a few years on methodologies to improve the quality of software and data, he recently steered his research on how to transfer technological innovations to industry and public institutions.