Patrick Rebeschini

Statutory Professor (Chair) Of Statistical Science

England, United Kingdom
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Summary

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Senior
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Top School
Patrick Rebeschini is a Statutory Professor and Chair of Statistical Science at the University of Oxford, combining nine years of academic leadership with deep technical expertise in high-dimensional probability, statistics, and optimization for machine learning. He researches and designs algorithms that are both computationally and statistically efficient, bridging theoretical foundations with practical ML methods. His trajectory—PhD and MA from Princeton and a background in theoretical physics from Padua—gives him a rare cross-disciplinary lens on probabilistic modeling and algorithmic complexity. He has progressed through roles at Oxford, Yale and Princeton, mentoring students and shaping curricula while maintaining an active research agenda. Notably, his work emphasizes fundamental limits in high-dimensional settings, informing principled algorithm design rather than purely empirical modeling.
code9 years of coding experience
job11 years of employment as a software developer
bookMaster of Science (M.S.), Theoretical Physics, Master of Science (M.S.), Theoretical Physics at Università degli Studi di Padova
bookImperial College International Diploma, Physics, Imperial College International Diploma, Physics at Imperial College London
bookDoctor of Philosophy (Ph.D.), Probability Theory and Statistics, Doctor of Philosophy (Ph.D.), Probability Theory and Statistics at Princeton University
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Github Skills (4)

machine-learning2
statistics2
optimization2
data-science1

Programming languages (1)

Jupyter Notebook

Github contributions (3)

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Contributions:8 commits, 8 pushes in 5 days
damaru2/optimization17

Oct 2017 - Jan 2018

Contributions:8 pushes in 2 months
statisticsfallnotesdata-scienceoptimization
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Patrick Rebeschini - Statutory Professor (Chair) Of Statistical Science