Jamie Diprose is a Director and seasoned software leader with 12 years’ experience building AI-driven systems, robotics platforms, and large-scale data projects from research prototypes to public-facing dashboards. He led development of the COKI Open Access Dashboard, mapping open-access performance across 225 countries and 50,000 institutions, and has hands-on expertise training deep learning models for clinical outcomes and neuroimaging studies. His background spans social humanoid robotics—driving Sophia’s perception and conversational systems showcased on global stages—to research software engineering supporting academic discovery and reproducible research. Jamie combines PhD-level research rigor with practical product delivery, including custom hardware, PCB design, and full-stack web platforms. Comfortable moving between labs and live demos, he brings rare cross-disciplinary experience in neuroscience, HCI, and animatronics that helps translate complex research into impactful tools. Based in Auckland, he pairs entrepreneurial drive with a track record of turning experimental systems into operational services.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy, Computer Science, Doctor of Philosophy, Computer Science at University of Auckland
Telescopes, Workflows and Data Services for the 'Book Analytics Dashboard Project (2022-2025)', building upon the project 'Developing a Pilot Data Trust for Open Access eBook Usage (2020-2022)'
Contributions:8 releases, 240 reviews, 31 commits in 1 year
Source code for the cloud function that is created and called inside the oapen irus uk telescope.
Contributions:2 releases, 9 reviews, 8 PRs in 3 years 11 months
cloud-functiontelescope
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