I am a Research Scientist in the AI & Economics lab at Spotify. My research interests are primarily in causal inference, econometrics, statistical machine learning, and data-driven decision-making, with applications to digital platforms and personalization. At Spotify, I work on how to optimize online and offline experimentation, most recently in settings 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 Research Scientist at Booking.com. I also contribute to the non-profit Algorithm Audit.

I hold bachelor's and master's degrees in Statistics and Business & Economics from Lund University, Sweden. Before my PhD I worked in marketing science and digital advertising.