Senior Scientist @ ETH Zürich
Head of Research @
Aisot Technologies AG
Working at the interface of Complexity & Data Science
2016 - 2017
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Complexity Science
selected research
"Generalized Network Dismantling",
PNAS 2019
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.
Data Science
selected research
"Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders", IEEE ICDM 2018
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.
Teaching
EU projects participation
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SoBigData++ project
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SoBigData project: the European Research Infrastructure for Big Data and Social Mining.
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Multiplex project: Foundational Research on MULTI-level comPLEX networks and systems
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FOC project: Forecasting Financial Crisis
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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
Date 2005-2008
Master of Science in Computing
Faculty of Electrical Engineering and Computing, Croatia, Zagreb, LBCB group
Date 2008-2010
PhD in Computer Science (Complex Systems)
Institute Rudjer Boskovic, Croatia, Zagreb, Laboratory for Machine Learning and Knowledge Representations
Date 2010-2016
Robert Koch Institute, Berlin, Oct-Nov 2013
Postdoctoral researcher in Complexity & Data Science
Senior Scientist
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
