Senior Scientist at ETH Zürich
Working at the interface of Complexity & Data Science
2016 - 2017
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Complexity science (complex systems) 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 interactions, described with the complex networks framework.
ETH Zurich & NYU Courant 2020, cims.nyu.edu/eth-courant-workshop
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
Data science uses methods & algorithms from statistics, machine learning and other disciplines to extract insights from data. In particular, I am interested in machine learning for Financial Complex Systems and applications to FinTech and high frequency finance.
EU projects participation
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
Education & positions
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 (Complex Systems)
Robert Koch Institute, Berlin, Oct-Nov 2013
Postdoctoral researcher in Complexity & Data Science
Visiting research associate
Courant Institute of Mathematical Sciences,
New York, from Aug 2019
Supervisor & Panel member
PhD Program in Data Science, Scuola Normale Superiore, Pisa
Head of Research
Aisot Technologies AG