About me

My research covers topics related to the media, algorithms, and their relation to political and market institutions. Methodologically, I specialize in developing new approaches to quantify politically and economically relevant concepts from unstructured data such as text.

I am an Assistant Professor at the Paris School of Economics.

Before, I worked as a Post-Doctoral researcher at ETH Zurich and the University of St.Gallen. I completed my Ph.D. in Economics at the University of St.Gallen (summa cum laude, 2023), supervised by Roland Hodler. I visited the Paris School of Economics in 2021 and 2022, hosted by Ekaterina Zhuravskaya. In 2019, I visited ETH Zurich, hosted by Elliott Ash.

See my CV for more information.

News

I am co-organizing the MPWZ-CEPR Text-As-Data Workshop series with Elliott Ash and Sascha O. Becker. The next edition will take place on 15-16 September and will mark the 10th anniversary of our series! You can still submit papers here until 25 August 2025.

To stay updated about our call for papers and future programs, please fill out this form.

You can also check out the programs of all past editions.

Research

Publications

• Text Semantics Capture Political and Economic Narratives, with Elliott Ash and Germain Gauthier – Political Analysis (2023)
  • Our Python package relatio extracts narrative statements from text, see on GitHub or PyPI

• Ministers Engage in Favoritism Too, with Noémie Zurlinden – Journal of Public Economics (2022)

• Aligning Large Language Models with Diverse Political Viewpoints, with Dominik Stammbach, Eunjung Cho, Caglar Gulcehre, and Elliott Ash – Proceedings of the Conference on Empirical Methods in Natural Language Processing (2024)

Working Papers

• Who Owns the Online Media?, with Ulrich Matter – R&R at AEJ: Economic Policy

• Media Slant is Contagious, with Sergio Galletta and Elliott Ash – R&R at the Economic Journal

• The Political Effects of X’s Recommender Algorithm, with Germain Gauthier, Roland Hodler, and Ekaterina Zhuravskaya – Paper available upon request; funded by the Swiss National Science Foundation Grant No. 100018_215554 – R&R at Nature

• Is Propaganda Front-Page News?

Work in Progress

• Deep Latent Variable Models for Unstructured Data, with Elliott Ash and Germain Gauthier – Paper available upon request

Teaching

• The Political Economy of Artificial Intelligence (2025) – Paris School of Economics

• Media Economics (2024) – Paris School of Economics

• The Use of Artificial Intelligence in Economic Research (short course; 2024) – University of Hohenheim

• Computational Social Science with Images and Audio (2023) – ETH Zurich

• Text-as-Data (2023) – LMU Munich

• Summer Institute in Computational Social Science, see our location-specific GitHub (2021) – University of St.Gallen and ETH Zurich