2016 - 2017
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Complexity science studies systems and problems that are composed of many components which may interact with each other in a dynamic and non-linear way.
In particular, I am interested in complex networks.
SoBigData workshop 2019 "From Game Theory to Computational Social Science and Beyond"
Foundations for Blockchain Data Analytics, The Statistical and Applied Mathematical Sciences Institute, 2019, North Carolina
ACM WWW 2019, San Francisco
IEEE ICDM 2018, Singapur
Complex Networks 2018, Cambridge
NetSci 2018, Paris
CSS 2017, Cancun
NetSci 2017, Indianapolis
IJCN 2017, Anchorage
NetSci 2016, Seoul
Data science uses methods & algorithms from statistics, machine learning and other disciplines to extract insights from data. In particular, I am interested in data science for FinTech.
Working on EU projects
SoBigData project: the European Research Infrastructure for Big Data and Social Mining.
Multiplex project: Foundational Research on MULTI-level comPLEX networks and systems
FOC project: Forecasting Financial Crisis
e-LICO project: An e-Laboratory for Interdisciplinary Collaborative Research in Data Mining and Data-Intensive Science
Bachelor of Science in Computing
Faculty of Electrical Engineering and Computing, Croatia, Zagreb
Master of Science in Computing
Faculty of Electrical Engineering and Computing, Croatia, Zagreb, LBCB group
PhD in Computer Science
Robert Koch Institute, Berlin, Oct-Nov 2013
Postdoctoral researcher in Complexity & Data Science
Visiting research associate at
Courant Institute of Mathematical Sciences,
New York, from Aug 2019
Supervisor & Panel member of PhD Program in Data Science, Scuola Normale Superiore, Pisa