Group Leader at Kavli Institute for Nanoscience Discovery, University of Oxford
Oxford, England, United Kingdom
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Summary
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Senior
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Top School
Oliver Crook is a group leader and applied statistician with nine years’ experience developing non-parametric Bayesian and probabilistic machine learning methods for complex biological datasets, including NGS and mass-spectrometry. Trained at Cambridge (PhD in Applied Mathematics) and Oxford, he translates rigorous statistical theory into practical algorithms for spatial proteomics, structural mass-spectrometry and multi-scale host–parasite biology. He leads an MRC-funded group working across systems and structural biology, microbial forensics, protein design and AI interpretability, bridging experimental and computational workflows. Known for combining deep probabilistic thinking with hands-on biophysical experimentation, he has a track record of turning high-dimensional “omics” challenges into testable biological hypotheses. An early background in diverse internships and music teaching hints at an ability to communicate complex ideas to varied audiences.
9 years of coding experience
4 years of employment as a software developer
International Baccalaureate Diploma (IB), Higher level: Mathematics, Physics, Chemistry; Standard level: English, French, Geography, 41 including 776 at Higher Level, International Baccalaureate Diploma (IB), Higher level: Mathematics, Physics, Chemistry; Standard level: English, French, Geography, 41 including 776 at Higher Level at Institute International de Lancy (IIL)
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of Cambridge
Master’s Degree, Mathematics, 1st, Master’s Degree, Mathematics, 1st at University of Warwick
GCSE, 12 A*, 3A, GCSE, 12 A*, 3A at The Windsor Boys' School
Contributions:14 PRs, 39 pushes, 1 branch in 2 years
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