Joel Persson — Research Scientist, AI & Economics, Spotify

I am a Research Scientist in Spotify’s AI & Economics lab. My research is in causal inference and data-driven decision-making, with a focus on problems and applications in the digital economy. I have broad interests spanning statistics, economics, and ML/AI.

At Spotify, I lead research and development at the intersection of online experimentation, off-policy evaluation, and the use of AI to augment measurement and decision-making. The tools and systems I have helped develop support product decisions and run in production on Spotify Home and our internal experimentation platform.

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 Machine Learning Research Scientist at Booking.com. I also contributed as technical advisor and program lead at Algorithm Audit.

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