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Head of R&D @
Aisot Technologies AG
Privatdozent @ ETH Zürich
 
Working at the interface of

Financial Machine Learning & Complexity Science
 

2016 - 2017

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Complexity Science

selected research

"Generalization of neural network models for complex network dynamics"
Communication Physics 2024

Financial Machine Learning

selected research

"A Dynamic Regime-Switching Model Using Gated Recurrent Straight-Through Units",
 Journal of Financial Data Science (2024)

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Teaching

EU projects participation

  • SoBigData++ project

  • 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

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

Swiss Federal Institute of Technology (ETH), Zurich, COSS group, Switzerland, from 2016-2019

Senior Scientist

Swiss Federal Institute of Technology (ETH), Zurich, COSS group, Switzerland, from 2019

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Visiting research associate 

Courant Institute of Mathematical Sciences,

New York, 2019 - 2023

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Supervisor & Panel member

PhD Program in Data Science, Scuola Normale Superiore, Pisa

2019-2023

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Privatdozent

ETH Zurich, from 2024

ML for Finance & Complex Systems

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Head of Research

Aisot Technologies AG

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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, and give rise to its collective behavior.

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