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 decision-making in digital settings. At Spotify, I work on online and offline experimentation and personalization in large-scale recommendation systems, including applications involving generative AI.

I received my PhD from ETH Zurich in 2024, advised by Stefan Feuerriegel and Florian von Wangenheim. During my doctorate, I visited Stanford GSB, hosted by Jann Spiess, and interned as a Research Scientist at Booking.com. I also contribute to the non-profit 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.