Summary
Kevin O'Keeffe is an applied scientist and mathematician with 11 years of experience applying machine learning, data science, and complex-systems theory to urban sensing, mobility, and ride-sharing problems. After a PhD in Applied Mathematics at Cornell and a postdoc at MIT Senseable City Lab, he moved into industry roles at Apple and Amazon while founding a research institute focused on urban systems. He blends rigorous theoretical modeling with production-oriented applied work, shipping data-driven solutions at scale from academia to tech. Based in Seattle with roots in Ireland, he brings a rare combination of applied mathematics pedigree and hands-on product experience in city science and human mobility.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc) Physics and Applied Mathematics, Bachelor of Science (BSc) Physics and Applied Mathematics at University College Cork
Doctor of Philosophy (PhD) Applied Mathematics, Doctor of Philosophy (PhD) Applied Mathematics at Cornell University
Christian Brothers College
English, Irish, German, French