I am currently an FWO PhD Fellow at the Institute for Social and Political Opinion Research (ISPO), KU Leuven, Belgium. I finished my MA at the Central European University, Budapest. I have too many hobbies but what never gets me tired is cooking, biking, and reading about stuff I know little about.
My research interests include radicalism, voting behaviour, democratic representation, and methodology. My PhD is on developing a new way to conceptualize and measure radical belief systems, the conditional endorsement of liberal values by radical and populist voters, and the role of radical beliefs as drivers of opinion extremity and inter-group animosity. I am currently working on the questionnaire design, data collection and analysis of the Belgian National Electoral Study.
Methodologically, I am particularly interested in conjoint analysis, matching techniques, text as data, machine learning, and big data. I currently working on improving conjoint experiments designs, a new way to discover treatment heterogeneity using conjoint data, and interviewer effects in face-to-face surveys.
I am a member of the survey and experimental teams of Team Populism, a research group that brings together scholars from Europe and the Americas to study the causes and consequences of populism. Together with Luca and Hanne, I run MethLab, a PhD-led initiative to encourage (qualitative and quantitative)research methods training.
I am an external consultant and analyst for ZK Analytics and the European Consortium for Political Research (Methods Schools).
Download my resumé.
FWO PhD Fellow
KU Leuven, Leuven, Belgium
MSc in Statistics
KU Leuven, Leuven, Belgium
MA in Political Science, 2018
Central European University, Budapest, Hungary
BA in Political Science, International Relations, Public Administration, 2015
University of Padua, Padua, Italy
Instructor for the following courses:
Introduction to Conjoint Experiments (ECPR, 2020)
Propensity Matching and Standardisation techniques (Hebrew University of Jerusalem, Israel, 2019)
I have served as Teaching Assistant for the following courses:
Multilevel Structural Equation Modelling (Bruno Castanho Silva, ECPR, 2021)
Structural Equation Modelling (Bart Meuleman, ECPR, 2021)
Advance Multilevel Modelling (Levi Littvay, ECPR, 2020)
Logistic Regression and GLM (Michał Kotnarowski, 2019, ECPR)
Automated Collection of Web and Social Data (Theresa Gessler and Pablo Barbera, ECPR, 2018-2019)
R Basics (Akos Mate, ECPR, 2018)
Text Mining Boot Camp (ITI Project, Central European University, 2018)
Regression Refresher (Levi Littvay, ECPR, 2018)
Experimental Political Science (Levi Littvay, Central European University, 2018)
Text Analysis Across Discipline (ITI Project, Central European University, 2017)