I’m a sociologist studying how the research system works — and how well-intentioned reforms can produce unexpected outcomes. I work as a Scientist at the Complex Social & Computational Systems group at the IDea_Lab at University of Graz.

In my previous research, I have investigated the academic impact of Open Science, synthesising evidence from hundreds of studies and conducting large-scale empirical analyses of publishing costs, knowledge production, and funding dynamics. A consistent finding has been that openness alone does not produce equity — its benefits are shaped by the conditions under which it is implemented, from how publishing is financed to who has the capacity to reuse what is shared.

I’m interested in reproducibility, both as a practice and a research question: when is it a meaningful goal, how can we achieve it, and where might the push for reproducibility produce its own unintended effects? Increasingly, I’m also drawn to how the adoption of generative AI tools by researchers is reshaping knowledge production — from how findings are generated and written up, to how they are reviewed and evaluated.

Methodologically, I work primarily with large bibliographic datasets, Bayesian multilevel models, and computational simulations. I completed my doctoral studies in Sociology at University of Graz in 2024, and also hold a degree in Music Performance from the University of Performing Arts Graz.

All my publications can be found on Google Scholar, ORCID, or here (PDF).