Michael Cole is a Senior Machine Learning Engineer with 15 years of quantitative and data science experience, blending a Cambridge MMath (Tyson medalist) and a PhD in mathematics with industry roles at Nomura and C3 AI. He has progressed from quantitative researcher to data science manager and now leads ML work at PhysicsX in London, applying rigorous mathematical grounding to production ML and data-driven decision making. His background includes physics detector simulation and open-source front-end contributions to the well-known MEAN.JS stack, reflecting both deep theory and practical full-stack development skills. Comfortable translating complex mathematical ideas into robust models and pipelines, he uniquely bridges academic research on black hole mathematics with applied ML in finance and enterprise AI.
15 years of coding experience
8 years of employment as a software developer
Faringdon Community College
MMath Mathematics, MMath Mathematics at University of Cambridge
Doctor of Philosophy (Ph.D.) Mathematics, Doctor of Philosophy (Ph.D.) Mathematics at Queen Mary, U. of London
MEAN.JS - Full-Stack JavaScript Using MongoDB, Express, AngularJS, and Node.js -
Role in this project:
Full-stack Developer
Contributions:9 commits in 1 month
Contributions summary:Michael primarily contributed to the frontend and build process of the MEAN.JS application. They refactored and bootstrapped the client-side home view, added a small amount of additional info to the application, and fixed a typo. Further, they incorporated a 'grunt debug' task, enhancing the development workflow.
A VuePress documentation site scraped from the internet archives:
Contributions:10 commits, 1 PR, 51 pushes in 2 years 8 months
vuepressdocumentation-siteinternet
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Michael Cole - Senior Machine Learning Engineer at PhysicsX