At the intersection of data science, econometrics, and applied statistics.

I'm an Assistant Professor of Statistics and Data Science at the Croatian Catholic University in Zagreb. My work sits where quantitative methods meet finance, economics, and digital media. I teach across the statistics curriculum, from introductory to multivariate, along with research methodology, data science, and digital media, and I lead a research project that brings these threads into conversation.

Outside the university, I've worked in financial markets and algorithmic trading, and partnered on applied research across a range of fields and methods, including time-series and financial econometrics, machine learning, NLP-driven media monitoring and narrative analysis, and social and digital analytics. Through all of it, the same rigorous, reproducible quantitative work that takes messy data and turns it into something a team can actually act on.