Francesco Fabbri
Research Scientist at Spotify
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolFrancesco Fabbri is a research scientist with a decade of experience applying representation learning, graph-based models and generative AI to large-scale personalization and recommender systems. Currently at Spotify, he builds representation and generative models to power personalized experiences, drawing on prior leadership in responsible AI and GNN research at Eurecat and a PhD in Computer Science from Universitat Pompeu Fabra. His background spans industry and academia—including privacy-preserving federated solutions at Huawei and fairness-focused work at the University of Helsinki—reflecting a strong blend of theory and production-minded engineering. Based in Barcelona, he combines deep statistical training with hands-on deployment experience, and has a track record of securing competitive research roles and grants across European projects.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Excellent Cum Laude, Doctor of Philosophy - PhD, Computer Science, Excellent Cum Laude at Universitat Pompeu FabraLaurea Magistrale LM, Data science, Laurea Magistrale LM, Data science at Sapienza Università di Roma
English, Italian, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (33)
cuda9
gpt8
inference8
amd8
pytorch8
tpu7
llm7
llama7
mlops7
transformer7
llmops6
information-theory6
digital-humanities6
xpu5
computational-social-science5
Programming languages (1)
Github contributions (5)
FraFabbri/searchengine
Oct 2017 - Mar 2018
Contributions:12 commits, 5 pushes in 4 months
FraFabbri/fair-subset-datastream
Feb 2021 - Jan 2022
Contributions:4 commits, 3 pushes, 1 branch in 11 months
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