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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

"AI Pontryagin or how artificial neural networks learn to control dynamical systems.",
Nature communications 2022

Financial Machine Learning

selected research

"Exploring interpretable lstm neural networks over multi-variable data",

ICML 2020

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Teaching

Data Science in Techno-Socio-Economic Systems

ETH Zurich,

Lecturer, Spring 2020

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

Visiting research associate 

Courant Institute of Mathematical Sciences,

New York, 2019 - 2023

Supervisor & Panel member

PhD Program in Data Science, Scuola Normale Superiore, Pisa

2019-2023

Head of Research

Aisot Technologies AG

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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