Caitlin Duncan is a Design Analyst at Stats NZ with a decade of experience blending data analysis, computer science research, and education. She holds a PhD in Computer Science from the University of Canterbury and has applied her research skills as a JSPS postdoctoral fellow and scientific researcher in Osaka's Robot Learning Group. Caitlin has a strong teaching and curriculum background—developing introductory CS courses, contributing to Computer Science Unplugged, and creating resources for Code Club teachers—bringing an educator’s clarity to complex data work. Her career includes independent consulting for research and data projects, nonprofit analytics for family services, and recognition as a finalist for Young IT Professional of the Year (2018). Comfortable moving between academic research, policy-focused analysis, and practical tooling, she combines rigorous methods with clear communication and creative writing strengths. Based in Wellington, she brings an uncommon mix of robotics research experience and hands-on CS education to public-sector design analytics.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Canterbury
A collection of free teaching material that teaches Computer Science through engaging games and puzzles that use cards, string, crayons and lots of running around.
Contributions:11 PRs, 60 pushes, 9 branches in 3 years 3 months
sciencegamesstringdjangoteaching
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