Olivier Jeunen
Principal Research Scientist at Aampe
Antwerp, Antwerp, Belgium
Summary
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Senior🎓
Top SchoolOlivier Jeunen is a Principal Research Scientist based in Antwerp with nine years of experience applying machine learning to recommendations, experimentation, and evaluation. He blends rigorous academic research—culminating in a PhD on "Offline Approaches to Recommendation with Online Success"—with industrial impact from roles at Aampe, ShareChat, Amazon, Spotify Research, Facebook, and Criteo. Olivier is skilled at translating theory into production-ready solutions and has repeatedly collaborated with both large tech labs and university spin-offs. His background spans hands-on research positions and leadership in decision science, giving him a rare view across offline evaluation and online product success. Notably, his career path shows a steady focus on recommender systems informed by cross-organizational experiments rather than purely theoretical work.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science: Data Science, Doctor of Philosophy - PhD Computer Science: Data Science at University of AntwerpErasmus exchange programme Computer Science, Erasmus exchange programme Computer Science at The University of EdinburghLatijn-Wiskunde, Latijn-Wiskunde at Moretus Ekeren
Dutch, English, French, German
Github Skills (31)
advertising9
real-time-bidding9
prediction8
sequential8
reinforcement-learning8
google-cloud-platform8
bandit8
simulation8
evaluation8
migration7
machine-learning7
q-learning7
spotify6
sql6
skip6
Programming languages (5)
Github contributions (5)
olivierjeunen/sequential-skip-prediction
Jan 2019 - Oct 2022
Source code for our approach to the 2019 WSDM Cup Spotify Sequential Skip Prediction Challenge
Contributions:14 commits, 5 PRs, 13 pushes in 3 years 9 months
pythonpredictionapproachskipcup
olivierjeunen/olivierjeunen.github.io
Dec 2019 - Dec 2024
Contributions:153 pushes, 1 branch in 5 years
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