Dániel is currently working on uncovering patterns in the communication of politicians on social media using bipartite configuration models (BiCMs) and community detection algorithms. He earned his BSc degree in business informatics at the Corvinus University of Budapest in 2023. In the thesis work, he applied predictive models to classify students in the danger of dropping out of university on student-level data. As a Master’s student in economic analysis at the Corvinus University of Budapest, he specializes in industrial organization and market analysis. His previous projects revolved around topics in education economics, measuring media polarization and analysing supplier-networks.