My research spans statistical inference after data transformations, privacy-preserving synthetic data, differential privacy, machine learning methods for social science, and election forecasting. Publications appear in venues including ICLR, ACM PODS, PNAS, the Harvard Data Science Review, Political Analysis, and Political Science Research and Methods.
Working Papers
- Learning from Small Data: Tabular Foundation Models for Political Science. Working paper, PDF. Software: tabfound.
- Diversity Profiles for Party Systems. Under review. Software: partyscape.
- When Privacy Measures Fail: A Theoretical Critique of Empirical Disclosure Risk Assessment for Synthetic Data. With Jonathan Latner and Jörg Drechsler. Under review.
- Learning by Solving: Building Government Data Literacy One Problem at a Time. With Malte Schierholz, Julia von Bartenwerffer, Jacob Beck, Felix Henninger, Leonhard Kestel, Michael König, Heidi Seibold, Wiebke Weber, and Frauke Kreuter. Under review.