Michael Cole is a London-based data science leader with 14 years of experience spanning quantitative research, data science, and team leadership. A Cambridge BA in Mathematics, an MMath with Distinction (Tyson Medal for astronomy), and a PhD from Queen Mary underpin a rare blend of rigorous theory and applied analytics. He is currently Data Science Manager at C3 AI in London, where he shapes strategy and delivery for enterprise AI initiatives, after roles as Senior Data Scientist at C3 AI and at Nomura as Quantitative Researcher and Data Scientist. An active open-source contributor, his work on the MEAN.JS project demonstrates hands-on full-stack capability and a knack for improving development workflows. He combines academic depth with practical delivery to turn complex data problems into scalable, business-ready solutions.
15 years of coding experience
5 years of employment as a software developer
Faringdon Community College
Bachelor of Arts (BA), Mathematics, 1st, Bachelor of Arts (BA), Mathematics, 1st 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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