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, images, and videos – and implementing them in open-source software.

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

MPWZ-CEPR Text-as-Data-Workshop

I co-organize the MPWZ-CEPR Text-as-Data Workshop series with Elliott Ash and Sascha O. Becker. The most recent edition took place on 15-16 September. It marked the 10th anniversary of our series and featured special events, including a panel discussion on “AI in Economics Reviewing and Publishing.”

The next edition will take place on April 13th-14th, 2026. As always, our conference is online-only – to bring the latest text-as-data research to anyone, free of cost.

Submit papers here by March 13th, 2026.

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

You can check out the programs of all past editions.

Paris Empirical Political Economics Seminar (PEPES)

Together with colleagues from the Paris School of Economics and Sciences Po, we organize the PEPES seminar series. Check out our line-up for 2025-26 and join if you are in the Paris area. To be added to our mailing list, please sign up here.

Research

Selected Publications (all my publications are open-access)

• 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 – Forthcoming at Nature

• Text Semantics Capture Political and Economic Narratives, with Elliott Ash and Germain Gauthier – Political Analysis (2023)
  • Our open-source package (Python) 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)

• The Dark Side of the Web: Towards Understanding Various Data Sources in Cyber Threat Intelligence, with Noè Canevascini, Irdin Pekaric, Pavel Laskov, Saskia Laura Schröer – IEEE European Symposium on Security and Privacy Workshops (2025)

For all publications, please check my Google Scholar profile.

Working Papers

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

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

• 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
  • Our open-source package (Python) deeplatent is a unified framework to get latent variables from large multimodal datasets (e.g., text, images, videos), see on GitHub

Teaching

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

• Media Economics (2024, 2025) – 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