Senior Scientist at ETH Zürich
Working at the interface of Complexity & Data Science
Complexity Science
selected research
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.
Events:
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ETH Zurich & NYU Courant 2020, cims.nyu.edu/eth-courant-workshop
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SoBigData workshop 2019 "From Game Theory to Computational Social Science and Beyond"
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Talks:
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ICLR 2020
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Foundations for Blockchain Data Analytics, The Statistical and Applied Mathematical Sciences Institute, 2019, North Carolina
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ACM WWW 2019, San Francisco
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IEEE ICDM 2018, Singapur
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Complex Networks 2018, Cambridge
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NetSci 2018, Paris
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Data Science
selected research
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.
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
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Visiting research associate
Courant Institute of Mathematical Sciences,
New York, from Aug 2019
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Supervisor & Panel member
PhD Program in Data Science, Scuola Normale Superiore, Pisa
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Head of Research
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