ABOUT

Welcome!

I'm David, an applied economist specializing in the political economy of digital and automated governance. My research explores how political and economic institutions interact with technological change, with a particular focus on artificial intelligence and automation. I study algorithmic governance — especially how such systems are interpreted and understood by citizens. Using mixed empirical methods, I analyze attitudes, cognition, and behavior at the micro level. My work on public support for surveillance has been published in Comparative Political Studies.

I am currently a postdoctoral researcher at the TUM School of Social Sciences and Technology, Technical University of Munich, where I work in the ERC-funded project Algorithmic Governance – A Public Perspective (AGAPP) . In 2025, I held a postdoctoral fellowship at the Centre for Social Data Science (CSDS) at the University of Helsinki. In 2024, I served as an adjunct professor at KIMEP University and completed my doctorate at the University of Bremen. In 2023, I was a visiting researcher at the Department of Economics at Nazarbayev University .

I teach courses in political science and institutional economics, with a focus on technological development, as well as applied methods classes in R. You can learn more about my current research projects and teaching experience on my website.

Feel free to reach out if you’d like to discuss my research or potential collaborations!