I am a Research Scientist in the AI & Economics lab at Spotify. My research focuses on econometric and machine learning methods for causal inference and data-driven decision-making, and their application in the digital economy. At Spotify, I work on methods and tooling for more efficient and effective experimentation, evaluation, and personalization of recommender systems, most recently when augmented with AI.

I received my PhD from ETH Zurich in 2024, advised by Stefan Feuerriegel and Florian von Wangenheim. During my doctorate, I visited the Operations, Information, and Technology group at Stanford GSB, hosted by Jann Spiess, and interned as a Research Scientist at Booking.com. I also contribute to the nonprofit Algorithm Audit.

I hold master's and bachelor's degrees in Statistics and Business & Economics from Lund University, Sweden. Before my PhD, I worked in marketing science at GfK (acquired by NielsenIQ) and in performance marketing at Precis Digital.