David Dempsey
Professor at University of Canterbury
Auckland, Auckland, New Zealand
Summary
👤
Senior🎓
Top SchoolDavid Dempsey is a professor and computational geoscientist with over a decade of experience applying physics-based models and machine learning to carbon dioxide removal, next-generation geothermal systems, induced seismicity, and magma-hydrothermal-mineral interactions. He has led research and teaching programs at the University of Canterbury and the University of Auckland, mentoring students in computer modelling, Python, and reservoir physics while developing tools used in CO2 sequestration studies. His postdoctoral work at Los Alamos and Stanford produced practical stochastic models and a Python wrapper for the FEHM reservoir simulator, bridging high-performance simulation and accessible research software. David combines rigorous physics, open computational tooling, and practical field-relevant problems, making his work directly applicable to both hazard forecasting and low-carbon energy deployment. Based in Auckland, he actively recruits postgraduate students interested in computational Earth science and applied machine learning.
9 years of coding experience
5 years of employment as a software developer
MSc Physics, MSc Physics at University of OtagoPhD Engineering Science, PhD Engineering Science at University of Auckland
Github Skills (24)
forecast9
jupyter-notebook6
testing6
jupyter5
python5
simulation-modeling4
mass4
batch4
wms3
earth-science3
snmp3
electrical-engineering3
heat3
similarity3
scripting2
Programming languages (4)
Github contributions (5)
ddempsey/wells
Feb 2021 - Feb 2023
Jupyter Notebooks for teaching well testing
Contributions:52 commits, 3 PRs, 45 pushes in 2 years
pythonteachingjupyter-notebooktestingnotebooks
ddempsey/dempsey_nzgw2018
Oct 2018 - Dec 2024
Contributions:7 pushes, 1 branch in 6 years 2 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.