Summary
Davis Cooper is a Data Scientist based in Wellington, New Zealand, with nine years of experience bridging academic research and industry machine learning. He holds a PhD in Computer Science from Victoria University of Wellington where he researched Optimal Transport for Linear Metric Learning, and has translated that theory into applied roles at Datacom and now Harmonic Analytics/WSP working on predictive analytics. His background in electrical engineering and mathematics underpins a strong quantitative approach to model design, validation and deployment. Davis has experience across research, tutoring, and engineering internships, which gives him a practical sense for turning complex algorithms into production-ready solutions. A not-obvious strength is his deep familiarity with metric learning and optimal transport—specialized tools that can yield more robust similarity measures in real-world ML systems.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Victoria University of Wellington
English