I am an Assistant Professor at the Department of Communication Sciences, Croatian Catholic University in Zagreb. My work sits at the intersection of data science, econometrics, and applied statistics. I teach courses in statistics, data science, multivariate methods, and natural language processing, and I bring applied research into the classroom through ongoing work in machine learning, financial econometrics, and computational text analysis.
Before joining the university I spent eight years as a researcher at the Institute of Social Sciences Ivo Pilar and the Faculty of Croatian Studies, working on problems in financial econometrics and empirical social research. I hold a PhD in Economics from the University of Zagreb, with doctoral training at the Vienna Graduate School of Economics and the Kiel Institute for the World Economy.
I currently lead an academic project analyzing Catholic themes in Croatian digital media (2025 to 2027), building a structured database of digital publications for thematic research. Explore the project here. I also maintain an open source project on Croatia’s income convergence (2000 to 2024), using fractional integration and time series methods across country groups. The code and data are available on GitHub.
I am committed to open source research tools and reproducible analysis. All of my course materials are publicly available, and I encourage students and collaborators to engage with data transparently and critically.
PhD in Economics, 2018
Faculty of Economics and Business, Zagreb & Universitat Wien
MSc in International Economics, 2015
Kiel Institute for the World Economy
MSc in Finance, 2010
Faculty of Economics and Business, Zagreb
BSc in Business, 2009
Faculty of Economics and Business, Zagreb
Analysis of Catholic themes in the Croatian digital media landscape (2025 to 2027). Building a structured database of digital publications for thematic research.
Open source investigation of Croatia’s income convergence (2000 to 2024) across country groups using fractional integration and time series methods.