I am a Ph.D. candidate and Research Associate at the Institute for Political Science of the Technical University of Darmstadt working at the intersection of Data Science and Political Science. Before that, I graduated from the University of Mannheim with a Master degree in Data Science. My work is centered around the analysis of multimodal political communication, encompassing various channels such as parliamentary speeches, political advertisements and social media.
11/2023 — At the Annual Conference of the International Association for the Study of German Politics in Mannheim I will present our Multimodal Paper with Christian Arnold
10/2023 — Christian Arnold is presenting our paper about Making the Most of Multimodal Data at the 2023 PSAI Annual Conference in Belfast
07/2023 — Our paper, The Role of Hyperparameters in Machine Learning Models and How to Tune Them, a joint work with Christian Arnold, Luka Biedebach, and Marcel Neunhoeffer, has been accepted by Political Science Research and Methods (PSRM)
07/2023 — I am presenting our paper about multimodal alignment as well as joint work analyzing What we can and cannot learn from responses to legislative speeches (with Jochen Müller and Christian Stecker) at the 8th Conference of the Standing Group on Parliaments in Vienna
06/2023 — I am presenting our paper about multimodal alignment at the European Political Science Association 13th Annual Conference in Glasgow
05/2023 — I am presenting my paper Non-random Tweet Mortality and Data Access Restrictions: Implications for the Study of Sensitive Topics on Twitter at COMPTEXT 2023 in Glasgow
05/2023 — Christian Arnold is presenting our paper about Making the Most of Multimodal Data at COMPTEXT 2023 in Glasgow
04/2023 — Spring 2023 Semester: Teaching Quantitative Text Analysis in R (Postgraduate seminar) at TU Darmstadt
03/2023 — Giving a guest lecture in Data Analysis via the Brückenprogramm of TU Darmstadt/National University of Kyiv-Mohyla Academy
02/2023 — Holding a 2-Day workshop on Getting started with Python: A how-to guide for social scientists together with Ruben Bach at the MZES Social Science Data Lab in Mannheim
10/2022 — Fall 2022 Semester: Teaching Introduction to Quantitative Methods in R (Postgraduate seminar) at TU Darmstadt
10/2022 — Presenting joint work with Jochen Müller and Christian Stecker about applause and interjections pattern in the German Bundestag at the DVPW meeting for comparative parliamentarism research in Bremen
06/2022 — Presenting joint work with Denis Cohen about estimating legislator-level issue salience and issue positions from political text @ PolMeth Europe 2022 in Hamburg as well as at EPSA 2022 in Prague
05/2022 — MZES SSDL blog post and input talk about the Collection, Management, and Analysis of Twitter Data
05/2022 — First day as a Research Associate and PhD Student at the department of Christian Stecker at Technical University of Darmstadt and co-supervised by Christian Arnold at Cardiff University
To address significant questions in Political Science, I employ a combination of (multimodal) deep learning models and traditional methods, contributing to both substantial and methodological research. In addition, I am passionate about teaching and imparting knowledge to others. As a research associate at TU Darmstadt, I instruct various postgraduate courses focused on quantitative methods with a focus on text-driven methods. Substantively, my interests primarily lie in the areas of political communication and legislative studies, which I believe are critical for understanding the complexities of modern political structures and discourse. As a team member of the Social Science Data Lab Blog based at the Mannheim Center for European Social Research (MZES), I do both, supporting the organization and implementation of workshops as well as contributing blog posts and input talks.
I’m happy to connect with you either via Bluesky, Twitter or by email.
Ph.D. Student and Research Associate, Ongoing
Technical University of Darmstadt
M.Sc. in Data Science, 2022
University of Mannheim
B.Sc. in Business Information Systems, 2019
University of Applied Sciences Karlsruhe