David Green

Principal Research Consultant at CSIRO

Newcastle-Maitland, New South Wales, Australia
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
David Green is a Principal Research Consultant who blends physics, computer science and applied mathematics to lead teams solving large-scale, computationally intensive problems on world-class supercomputers. With 11 years of experience and a PhD in Physics from the University of Newcastle, he has held scientific and leadership roles at Oak Ridge National Laboratory and now CSIRO, where he translates cutting-edge research into robust simulation workflows. His open-source contributions to the MOOSE multiphysics framework include implementing pressure–temperature based ideal gas properties, EOS data readers, and phase-property kernels—work that directly supports realistic geochemical and CO2 modeling. Colleagues rely on him for architecting numerically rigorous solutions and mentoring researchers to deliver production-ready code for high-performance scientific computing.
code11 years of coding experience
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Newcastle
github-logo-circle

Github Skills (12)

c-language10
thermodynamics10
cprogramming-language10
numerical-methods10
scientific-computing10
database9
database-api9
json9
databases9
cmake8
linear-algebra8
fluid-dynamics6

Programming languages (8)

C++CSWIGTeXMakefileJupyter NotebookEiffelPython

Github contributions (5)

github-logo-circle
idaholab/moose

May 2016 - Sep 2021

Multiphysics Object Oriented Simulation Environment
Role in this project:
userBack-end Developer & Data Scientist
Contributions:154 reviews, 472 commits, 254 PRs in 5 years 5 months
Contributions summary:David implemented ideal gas fluid properties based on the pressure-temperature formulation, including enthalpy and its derivatives, and added unit tests. They also updated the universal gas constant and implemented a database reader utility to read geochemical data, specifically for the CO2 equation of state. Furthermore, they implemented auxiliary variables and kernels to calculate properties for various liquid and gas phases. Finally, the user worked on applying a working model to the fluid properties for a 1D radial aquifer.
multiphysicssimulationfemfinite-elementsobject-oriented
cpgr/hystre

Aug 2020 - Jul 2022

Hydrogen storage in saline reservoirs
Contributions:21 commits, 11 pushes, 2 branches in 1 year 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial