Welcome to my website! I am a political economist and data scientist. From September 2023 to September 2024, I was a Junior Associate at Bernstein Group, where I curated, cleaned, and analysed data using machine learning methods, frequentist- and bayesian statistics for client and internal purposes. Prior to that, I was a graduate student of political science at Department of Government of the London School of Economics and Political Science. For my research I rely on quantitative methodology - especially causal inference - which I implement in R. Outside of my research, I love to ride my bicycle (preferably in the mountains), play volleyball, cook, and drink espresso.
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MSc in Political Science and Political Economy, September 2023
London School of Economics and Political Science
BA in Political Science, September 2022
Free University of Berlin
The organisation of populist radical right parties significantly shapes their long-term electoral success. Within this party family, great organisational variation can be found, with the “Alternative for Germany” (AfD) representing a least-likely case: in terms of candidate selection (CS), it ranks much higher on democracy scales than the other Bundestag parties. This paper explores the reasons for this high level of intra-party democracy (IPD) by focusing on three explanatory dimensions: ideology, institutionalisation, and party unity. Methodologically, we apply multivariate analyses of representative quantitative data collected among AfD members at CS prior to the 2017 federal election. The results show that high political dissatisfaction and low levels of institutionalisation are important drivers of inclusive CS procedures. Overall, the article provides a deeper understanding of the underlying attitudes for the AfD’s inclusive IPD, and offers substantial theoretical and empirical implications for future research.