Orazio Angelini
Scholar at MATS Research
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolOrazio Angelini is an AI safety researcher and applied scientist with 11 years of experience bridging academic math and production ML, currently training in the MATS program under Mary Phuong. He completed a PhD in Applied Mathematics at King’s College London while teaching probability, statistics and linear algebra, and spent several years at Amazon advancing applied science projects from internship to senior roles. His background includes data-driven financial and economic modeling at IHS Markit and academic research on economic complexity, showing a talent for marrying network theory, dynamical systems and practical product outcomes. He has hands-on experience shipping models and production migrations, plus a track record of peer-reviewed publications that informed new products and analytical methods. Based in London, he brings a rare combination of rigorous theoretical training and production-focused engineering, with a knack for translating complex mathematical insights into deployable systems. An understated strength is his early cross-disciplinary work—from MRI denoising to bank stress-testing—that highlights adaptability across domains.
11 years of coding experience
9 years of employment as a software developer
Master's degree Theoretical and Mathematical Physics, Master's degree Theoretical and Mathematical Physics at Università degli Studi di BariDoctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at King's College London
English, Italian
Github Skills (16)
music-information-retrieval7
windows6
linux6
javascript6
macos6
editor5
electron5
keras5
tensorflow4
text-editor4
pytorch3
pre-trained-model3
python1
backend1
bokeh1
Programming languages (2)
Github contributions (5)
ganileni/ectools
Aug 2018 - Jan 2019
Contributions:13 commits, 6 pushes, 1 branch in 4 months
ganileni/py_falcon
Aug 2018 - Sep 2018
Contributions:1 release, 18 commits, 9 pushes in 7 days
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