I’m a PhD Candidate at the University of Mannheim working at the intersection of Quantitative Methods and International Relations. I use a broad portfolio of different statistical and methodological tools – ranging from natural language processing over network analysis to machine learning – on different sources of data to understand and measure the relationship structure of states in the international system. In my dissertation, I use information from political speeches and cooperation networks to quantify and estimate the interaction of states at the United Nations.
Since 2018, I am a research associate at the Chair of Empirical Democracy Research where I develop and teach courses on data analysis, LaTeX and international relations. Before that, I was a student research assistant at the Chair under Prof. Nikolay Marinov, PhD and held positions at the Mannheim Centre for European Social Research (MZES), the Collaborative Research Center SFB 884, as well as the Chair of Political Psychology.
Apart from using data analysis for my PhD projects and research positions, I enjoy to learn and apply new methods of all sorts to problems and challenges beyond the academic context. For instance, I serve as a voluntary mentor at the R-Track on exercism.io - a free and open-source e-learning website for coding and programming - where I supervised more than 100 students on programming exercises and coding challenges in R.
PhD in Political Science
University of Mannheim
Visiting Researcher
09-10/2019, University of Houston
M.A. Political Science, 2017
University of Mannheim
Visiting Graduate Student
09/2015-05/2016, Johns Hopkins University & School of Advanced International Studies (SAIS)
B.A. Political Science, 2014
University of Mannheim
5+ years daily use for data management, data analysis and data visualization as well as programming and coding
2+ years of experience for NLP and Text Analysis
2+ years of experience
7+ years of experience, incl. teaching data analysis using Stata
2+ years of experience for data exploration & visualization
2+ year of daily experience for personal & collaborative work
5-day summer school on how to process and analyze multimedia data (text, images, videos, and audio). Alongside the lectures and hands-on tutorials, small groups work on mini projects using a specific data sources for a problem of their own choice.
Together with Cosima Meyer, Theresa Küntzler – and supervised by Andreu Casas – we trained a Convolutional Neural Network to detect emotions in political speeches from videos and images and won an award (honorable mention) for the best mini project.