Alessio Mancini
Lecturer In Physics at Royal Holloway, University of London
United Kingdom
Summary
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Senior🎓
Top SchoolAlessio Mancini is a physics lecturer and machine-learning researcher with eight years of experience applying advanced computational methods to problems in the physical sciences. Currently based in the UK, he holds a PhD in Cosmology from Heidelberg and has held postdoctoral roles at Cambridge and UCL before joining Royal Holloway. His work sits at the intersection of theoretical cosmology and data-driven modelling, developing ML techniques tailored to physical constraints rather than generic black-box solutions. Alessio combines academic rigor with practical code-driven research, often translating complex theory into reproducible computational workflows. He is known for bridging disciplines—bringing ML best practices into physics research groups—and for mentoring early-career researchers in both methods and software. Outside of publications, his profile reflects a commitment to open, replicable science and collaborative problem-solving across institutions.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Master's degree at Università degli Studi di PadovaDoctor of Philosophy - PhD, Cosmology, Doctor of Philosophy - PhD, Cosmology at Heidelberg University
Github Skills (29)
cosmology10
random-walk9
injection9
energy9
bayesian9
bayesian-inference9
deep-learning8
parameter-estimation8
machine-learning8
simulation7
sampling7
inference7
tensorflow7
snl-applications7
python6
Programming languages (4)
Github contributions (5)
alessiospuriomancini/cosmopower
Jun 2021 - Dec 2022
Machine Learning - accelerated Bayesian inference
Contributions:2 releases, 10 reviews, 21 commits in 1 year 6 months
deep-learningbayesian-inferenceacceleratedinferencemachine-learning
alessiospuriomancini/alessiospuriomancini.github.io
May 2020 - Oct 2020
Contributions:18 pushes, 1 branch in 4 months
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