Maurizio Filippone
Associate Professor
Thuwal, Makkah Region, Saudi Arabia
Summary
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Senior🎓
Top SchoolMaurizio Filippone is an Associate Professor and Bayesian machine learning researcher with over a decade of academic experience spanning roles at KAUST, EURECOM, and the University of Glasgow. He develops principled, scalable inference methods for uncertainty-aware models—particularly Bayesian treatments of deep learning and Gaussian processes—with applications in environmental and life sciences. He has led substantial funded projects (including an AXA Chair and an ANR grant) and published influential work on functional priors, Bayesian autoencoders, and scalable calibrated classification. Notably, his research blends theoretical rigor with practical algorithms designed for low-power and large-scale settings, reflecting a focus on deployable Bayesian solutions rather than purely conceptual advances. Trained in physics and computer science (PhD, University of Genoa), he brings a strong interdisciplinary perspective to probabilistic modeling and computational statistics.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of GenoaGithub contributions (5)
mauriziofilippone/preconditioned_GPs
Feb 2016 - Jun 2016
Contributions:3 commits, 5 pushes, 1 branch in 3 months
ebonilla/gaussianprocesses
Jul 2019 - Jul 2019
Contributions:62 commits, 60 pushes in 11 days
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