I am a Research Scientist in the Personalization organization at Spotify, where I work on causal inference, econometric, and machine learning methods for experimentation and decision-making in large-scale recommender systems powered by AI.

I received my PhD from the Department of Management, Technology, and Economics at ETH Zurich in 2024, focusing on causal machine learning methods for applications in digital platforms, digital media, and digital health. My supervisors were Stefan Feuerriegel and Florian von Wangenheim. During my doctorate, I visited Stanford Graduate School of Business, hosted by Jann Spiess, and interned as Research Scientist at Booking.com. I also joined the non-profit organization Algorithm Audit, where I contribute to policy research and open-source statistical software.

Prior to graduate school, I obtained dual bachelor's and master's degrees in Statistics and Business & Economics from Lund University, Sweden, and worked in marketing science and digital advertising.