Pablo Moreno-muñoz
Academic Visitor at Universitat Pompeu Fabra - UPF
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolPablo Moreno-muñoz is a probabilistic machine learning researcher and engineer with eight years of experience bridging academia and applied research across Europe. Currently an Academic Visitor at the University of Oxford and Research Fellow at UPF, he completed a PhD at Universidad Carlos III de Madrid and has postdoc experience from DTU, plus internships at Max Planck and ESA. Trained as a telecommunications engineer, he combines strong theoretical grounding with hands-on work in AI/ML research groups, often collaborating internationally through short-term visits and projects. His background spans both communications and probabilistic modelling, giving him a practical edge in deploying principled ML solutions in research settings. Notably, he has shifted fluidly between industry-facing labs (ESA, IMDEA) and leading academic institutions, reflecting a rare mix of engineering pragmatism and deep probabilistic expertise.
8 years of coding experience
Charles III University of Madrid (Universidad Carlos III de Madrid)Erasmus Scholarship, Telecommunications Engineering, Erasmus Scholarship, Telecommunications Engineering at Danmarks Tekniske UniversitetColegio "Estudio"
Spanish, English, French
Github Skills (7)
gaussian-processes8
hierarchical8
manifold5
python4
machine-learning3
pytorch3
algorithms3
Programming languages (2)
Github contributions (5)
pmorenoz/HierCPD
Jul 2018 - Oct 2018
Hierarchical Change-Point Detection
Contributions:20 commits, 2 PRs, 16 pushes in 2 months
change-pointhierarchicalpointchange-point-detectionpoint-detection
pmorenoz/HetMOGP
May 2018 - May 2020
Heterogeneous Multi-output Gaussian Processes
Contributions:43 commits, 2 PRs, 37 pushes in 1 year 11 months
gaussian-processes
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