WELCOME!
I am a PhD Candidate in Economics at the University of Cologne working at the intersection of applied AI and behavioral economics. Two specific themes in my work are (i) building software, such as mobile apps, as platforms for large-scale RCTs to understand the impacts of AI and (ii) using advances in AI for measurement to find low-dimensional representations of the world from high-dimensional data.
I will join ETH Zurich as a Postdoc in Fall 2026.
Affiliations: ECONtribute, C-SEB, Gateway Cologne
EDUCATION
- PhD Economics, University of Cologne, 2026
- MA Philosophy, University College London, 2020
- MSc Finance, Stockholm School of Economics, 2019
- BSc International Business, Maastricht University, 2017
RESEARCH
Working Papers
News Customization with AI (with Felix Chopra, Ingar Haaland, Chris Roth and Vanessa Sticher)
Revise & Resubmit, Review of Economic Studies
Media: FAZ
We introduce a new method to study news preferences by unbundling presentation from coverage. In our AI-powered news app, users can customize article characteristics, such as complexity or extent of opinion, while holding the underlying news event constant. In large-scale field experiments, we find that customization leads to better matching between the news consumed and stated preferences, increasing news satisfaction. While a significant fraction of users demand politically aligned news, the majority of users display high and persistent demand for less opinionated and more fact-driven news. By contrast, users not offered customization keep consuming news misaligned with their stated preferences.
Selected Work in Progress
Measuring the Structure of Household Macroeconomic Expectations
Households differ in what they expect and in how their macroeconomic expectations move together. I use 12 survey waves for 6,550 respondents in the New York Fed Survey of Consumer Expectations to study within-household comovement among expectations for inflation, unemployment, saving-account rates, and stock prices. Households differ systematically in whether their unemployment, saving-rate, and stock-price probabilities rise and fall together, producing a persistent probability-alignment ranking. Inflation expectations are only weakly aligned with these three probability reports and do not support a comparably persistent ranking. Alignment is not an optimism-pessimism factor: unemployment and stock-price probabilities tend to rise together. The pattern persists after accounting for response style, and alignment measured in the first six waves predicts joint expectation movements and same-direction revisions in the next six. Similar within-person comovement appears in the ECB Consumer Expectations Survey, although respondent rankings are less persistent. Across households, the relationship between inflation expectations and planned spending is about one quarter flatter at higher probability alignment. This is consistent with a given inflation expectation carrying different spending signals depending on the household's other macro expectations. Repeated observations thus reveal household-specific structure that analyses of one expectation at a time miss.AI as Organizational Intelligence
Digital Support (with Elliott Ash, Marine Casalis, Gloria Gennaro, Dominik Hangartner and Michael Jacobs)
Simulating Human Types
TEACHING
- Experimental Methods (graduate)
- Survey Design (graduate)
- Project Seminar: Applied Econometrics (undergraduate)