Ben Leighton

Senior Experimental Scientist at CSIRO

Melbourne, Victoria, Australia
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Summary

👤
Senior
🎓
Top School
Ben Leighton is a delivery-focused technologist and Senior Experimental Scientist at CSIRO with 12 years of professional experience applying software engineering to geospatial and environmental science. He combines hands-on implementation, innovation, and leadership to deliver generative AI, modelling and simulation, and machine learning solutions that drive real-world impact. With roots in biology (ANU BSc) and formal ML training via Stanford’s Coursera course, he bridges domain science and advanced analytics to translate complex research needs into production-ready systems. His long tenure at CSIRO and prior engineering roles reflect a pragmatic builder mentality, comfortable moving between research prototypes and operational software. Based in Melbourne, he’s known for turning environmental data and models into actionable insights rather than purely theoretical outputs.
code12 years of coding experience
job4 years of employment as a software developer
bookAustralian National University
bookStandford University Online Course through Coursera, Machine Learning, 100%, Standford University Online Course through Coursera, Machine Learning, 100% at Coursera
bookCanberra High School
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Github Skills (72)

rasterio8
altium-designer8
flask8
satellite8
mercator8
fractal8
gis8
jupyter-notebook8
mandelbrot8
datacube8
gdal7
ocean-modelling7
rest-api7
sanic7
water7

Programming languages (8)

HCLDockerfileShellJavaScriptHTMLJupyter NotebookPerl 6Python

Github contributions (5)

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A collection of tool to assist in the building of the loci-cache
Contributions:25 PRs, 60 pushes, 12 branches in 9 months
locirediscacheassist
benjaminleighton/xarrayfrac

Jan 2022 - Feb 2022

example custom xarray backend that dynamically generates mandelbrot fractals
Contributions:34 commits, 1 PR, 28 pushes in 1 month
backendcustom-backenddaskfractalmandelbrot
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