I grew up in a small village directly adjacent to the city of Hamburg, Germany. In the fall of 2011, I began studying Social Sciences at the Justus-Liebig University Gießen. During my studies, I worked as a student assistant at the Chair of Comparative Politics and as a statistics tutor at the Chair of International Comparative Social Research Methods. After completing my Bachelor's degree in 2014, I enrolled in the master's program in Political Science at the University of Mannheim where my coursework focused on quantitative methods and comparative politics. I also worked as a student assistant at the Chair of Political Economy and participated in the EITM Europe Summer School. After my graduation in 2016, I joined the Center for Doctoral Studies in Social and Behavioral Sciences (CDSS) and became a doctoral researcher at the Collaborative Research Center (SFB) 884 where I study "reform agendas, policy diffusion and the consequences of intra-party position taking" (Project C2) together with Thomas Bräuninger, Marc Debus, and Roni Lehrer.
My research has a strong empirical focus and primarily centers around party politics and legislative decision-making. Besides other things, I investigate diffusion and learning processes among parties within and across the different European multiparty systems and how these processes lead to endogenously evolving dynamics of party competition. I am also interested in the cooperative behavior of individual Members of Parliament and how they create and maintain collaborative networks to affect the course of policy-making within the chamber. Throughout my employment at the SFB 884, I contribute survey questions to the German Internet Panel (GIP) and design survey experiments in order to analyze how characteristics of the legislative decision-making process in democracies affect public evaluations of the final policy outcome.
I am also doing research on advanced quantitative methods, particularly Bayesian statistics and spatial econometric techniques, and the development of statistical solutions to problems of measurement. In this context, I develop and apply Bayesian methods to address methodological problems and to closely align theoretical and empirical models.