I am a Research Scientist in the Machine Learning and Economics lab at Spotify.
My research interests are in causal inference and data-driven decision-making, including applications in marketing, online platforms, healthcare, and public policy.  At Spotify, I currently work on personalization and evaluation of recommender systems powered by machine learning and AI.

I received my PhD from the Department of Management, Technology, and Economics at ETH Zurich in 2024, advised by Stefan Feuerriegel and Florian von Wangenheim. During my doctorate, I visited Stanford Graduate School of Business, hosted by Jann Spiess, and interned as Machine Learning Research Scientist at Booking.com in Amsterdam. I also joined the non-profit organization Algorithm Audit, where I contribute to research and open-source software for bias detection in machine learning systems.

I hold double bachelors and masters degrees in Statistics and Business & Economics from Lund University, Sweden, and previously worked in marketing science and digital marketing.