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.

Since the fall of 2024, I have been an Assistant Professor at the Paris School of Economics.

From 2023 to 2024, I worked at ETH Zurich as a Post-Doctoral researcher at the Center for Law & Economics with Elliott Ash. 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, together with Elliott Ash and Sascha O. Becker. The next edition will take place on 28 and 29 April 2025 (online-only).

Submit your work using this form until 15 March.

If you don’t want to submit work but stay updated, please fill out this form.

You can 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

• Is Propaganda Front-Page News?

Work in Progress

• 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

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

Teaching

Own Courses

• 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

Teaching Assistance (University of St.Gallen)

• Failed States and Nationbuilding (2021-2023)

• Public Economics (2017-2022)

• Data Science (2019-2021)

• Political Economics (2020)

• Introduction to Microeconomics (2017-2018)