Daniel Cooke is a software engineer with 11 years' experience building algorithms and tools for analysing large multidimensional datasets, currently developing quantitative trading systems at OxFORD Asset Management. He combines a strong academic foundation—a PhD in Genomic Medicine & Statistics from Oxford and an MSc in AI from Imperial—with hands-on production experience shipping clinical-grade bioinformatics pipelines for variant calling at Invitae. His work spans probabilistic modelling, whole-genome sequencing analytics, and production automation, including close collaboration with wet-lab and clinical teams to optimise end-to-end processes. Earlier roles in quant analytics and data engineering (Morgan Stanley, ICAP) gave him practical expertise applying statistical and clustering methods to real-time financial data. Colleagues value his ability to translate rigorous research into reliable, auditable software for both healthcare and trading domains. Based in Oxford, he brings a rare cross-domain fluency that helps him spot transferable signals across genomics and quantitative finance.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Genomic Medicine & Statistics, Doctor of Philosophy - PhD Genomic Medicine & Statistics at University of Oxford
Master's degree Computing (Artificial Intelligence), Master's degree Computing (Artificial Intelligence) at Imperial College London
Contributions:6 PRs, 33 pushes, 1 branch in 5 years 8 months
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Daniel Cooke - Software Engineer at OxFORD Asset Management LLP