Joel Persson — Research Scientist, AI & Economics, Spotify

I am a Research Scientist in AI & Economics lab at Spotify. My research focuses on causal inference and data-driven decision-making using machine learning and AI, with applications in the digital economy.

At Spotify, I work on optimizing the efficiency and effectiveness of experimentation and evaluation in recommender systems. The tools and systens I have helped develop support internal testing and product decisions and run in production on Spotify Home and our 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.