Scholar
Joel Persson
Google Scholar ID: gzxWVgoAAAAJ
Research Scientist, Spotify Research
Citations & Impact
Citations
130
H-index
4
i10-index
4
Publications
7
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- No specific academic achievements mentioned.
Research Experience
- During his doctorate, he visited the Operations, Information & Technology area at Stanford Graduate School of Business, hosted by Jann Spiess, and interned as a Machine Learning Research Scientist at Booking.com in Amsterdam. He also joined the non-profit organization Algorithm Audit, where he contributes to open-source software for bias detection in machine learning systems. Previously worked as a Marketing Scientist at GfK (now part of Nielsen) and as an analyst at an award-winning digital marketing agency.
Education
- Received a PhD from the Department of Management, Technology, and Economics at ETH Zurich in 2024, advised by Stefan Feuerriegel and Florian von Wangenheim. Holds double bachelors and masters degrees in Statistics and Business & Economics from Lund University, Sweden.
Background
- Research interests include Causal Inference, Statistical Learning, Data-Driven Decision-Making, Personalization and Digitalization. Currently working at Spotify, focusing on optimizing experimentation and recommender systems using bandits, generative models, and econometrics.
Miscellany
- No personal interests or hobbies mentioned.
