I am a quantitative social scientist with eight years of experience in academic teaching and empirical research. My background in data analysis includes machine learning, linear mixed-effects models, and causal inference, among other things. I am well familiar with the statistical computing package R. In the past, I have used that skill for comparing democracies, analyzing protest movements, and understanding the authoritarian rule. More recently, I have familiarized myself with Python and the data science ecosystem surrounding it. To put data science methods to real-world questions is my passion.
My previous positions include a postdoctorate at the Chair of Comparative Politics, University of Potsdam, Germany, and a Junior Researcher position at the WZB Berlin Social Science Center, Germany. I completed my doctorate in Political Science at Humboldt University Berlin, Germany. I also studied at Martin-Luther-University Halle/Wittenberg, Germany, and in 2011 I graduated from Free University Berlin with a Diploma in Political Science. Moreover, I spent the academic year 2015 at Duke University, Durham, NC.