Social scientist. Born and raised in Croatia, from 2021 based in the UK. My background is in political economy. My academic interest and skills encompass social data science, European social policy, quantitative and mixed methods, and applied data science.
I am Assistant Professor is Social Data Science at University College London (UCL), Social Data Institute (SODA). Prior to joing UCL-SODA, I was a research fellow at the Robert Schuman Centre for Advanced Studies at the European University Institute (EUI) in Florence.
My higher education began at University of Zagreb where I finished my udergraduate degree in political science. I stuided political science also at MA level at the Central European Univeristy (CEU). In 2021, I obtained a PhD in political science at the University of Luxembourg. My dissertation examined the effect of supranational EU policy coodrination regime - the European Semester - on national social policy outcomes on the case study of pension adequacy. As my interest are quantatitive methods and applied data science, I supplemented by political science degrees with an MSs in Computer Science with specialisation in Data Science at the University of Wolverhampton (2023).
During my studies I received numeours awards for academic excellence inter alia including the Dean's Award at the Univeristy of Zagreb, Pierre Werner Scholarship and Evropaeum scholarship.
My current, policy-orineted, academic research evolves around social/pension policy and sustainaible development. Most recently, the latter is reflected in the Elgar Companion to Data and Indicators for the Sustainable Development Goals - an edited volume that I have been co-editing and contributing to. The Companion is expected to be published in 2024.
I teach data-intensive modules that focus on applied data science, programming (R and Python), machine learning and data stoytelling (see Teaching tab for details).
In leisure time, I enjoy sports, wrist watches and a bit of travelling.
Feel free to get in touch :)
My higher education began at University of Zagreb where I finished my udergraduate degree in political science. I stuided political science also at MA level at the Central European Univeristy (CEU). In 2021, I obtained a PhD in political science at the University of Luxembourg. My dissertation examined the effect of supranational EU policy coodrination regime - the European Semester - on national social policy outcomes on the case study of pension adequacy. As my interest are quantatitive methods and applied data science, I supplemented by political science degrees with an MSs in Computer Science with specialisation in Data Science at the University of Wolverhampton (2023).
During my studies I received numeours awards for academic excellence inter alia including the Dean's Award at the Univeristy of Zagreb, Pierre Werner Scholarship and Evropaeum scholarship.
My current, policy-orineted, academic research evolves around social/pension policy and sustainaible development. Most recently, the latter is reflected in the Elgar Companion to Data and Indicators for the Sustainable Development Goals - an edited volume that I have been co-editing and contributing to. The Companion is expected to be published in 2024.
I teach data-intensive modules that focus on applied data science, programming (R and Python), machine learning and data stoytelling (see Teaching tab for details).
In leisure time, I enjoy sports, wrist watches and a bit of travelling.
Feel free to get in touch :)
