Jason Hunter

Higher Degree by Research Candidate

School of Civil, Environmental and Mining Engineering

Faculty of Engineering, Computer and Mathematical Sciences


The core interest of Jason's thesis is improving the quality and accessibility of probabilistic streamflow predictions in hydrology, to which end he has developed a generalised methodology for high-quality probabilistic predictions and embedded that in a user-friendly R-package. He has also worked with artificial neural networks, system optimisation, rainfall-runoff models, water quality and conditions in pipelines.

Jason can be found on LinkedIn and on Twitter.


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