I am a Postdoctoral Researcher at the Statistical Methods Unit of the Institute for Employment Research in Nuremberg, Germany, and at the Chair for Statistics and Data Science in Social Sciences and the Humanities at the Ludwig Maximilian University of Munich.

My research focuses on quantitative methodology. I am specifically interested in applying deep learning algorithms to social science problems (e.g., multiple imputation of missing data and synthetic data for data sharing). Substantively, I am interested in predicting political behavior and the ethical implications of new trends in applied social science research, like Big Data and Artificial Intelligence, focusing on privacy. I have published multiple papers in internationally renowned journals, and through invited talks, I got the chance to communicate the results of my research to international audiences.

As a co-founder, contributor, and visualizationist of zweitstimme.org, I have played a pivotal role in creating a platform that communicates a scientific forecast for German Federal elections to a broad audience. This initiative reflects my commitment to making complex statistical concepts accessible and engaging to the public.