Sam Archie
Sam Archie is a Data Engineer at Urban Intelligence, an Aotearoa-based company that empowers communities and organisations with evidence-based tools to navigate climate change and enhance resilience. At Urban Intelligence, Sam primarily focuses on creating scalable, reliable, and efficient ETL processes using Python that power the Resilience Explorer® platform - a solution for decision-makers to navigate climate change, plan for future weather events, and enhance organisational resilience.
With a Masters of Engineering from the University of Canterbury, Sam led the implementation of software algorithms to generate strategic urban growth plans of cities in Aotearoa that minimised risk to natural hazards, increased social cohesion and reduced land prices. This unique combination of engineering background and spatial analysis expertise now enables him to build the critical data infrastructure behind intuitive geospatial mapping, visualisation of asset and network data, interactive simulations of hazard events, and risk assessments based on world-leading research.
Sam's work exemplifies how technical expertise can drive sustainable urban transformation and community resilience. His role involves transforming complex climate and hazard data into actionable insights that help communities become more resilient, healthy, and inclusive—something he never imagined during his early engineering career but now finds deeply fulfilling.
Sessions
Lonboard transforms geospatial analysis by eliminating the need for costly tiling and database preprocessing. This WebGL-based visualisation library delivers superior performance in Jupyter Notebooks, reducing costs while enabling real-time interaction with large vector datasets. Open source demonstration with reproducible examples from Urban Intelligence's climate modelling work.