I analyze political communication, including social media, speeches, and press releases, using a combination of machine learning models and traditional methods to address substantial questions in Political Science and advance methodological research. In the course of my Master thesis I developed a framework to estimate legislator-level salience and position estimates based on political text using Transformers. Additionally, I teach different postgraduate courses at TU Darmstadt on quantitative methods using R. My substantial interests focus on political communication and intra-party heterogeneity.

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