Research interests
Dr Wadoux’s research has been on understanding how soil develops and varies in space and time. He created and developed new methods for soil sampling and quantitative soil mapping, particularly using kriging-based techniques. He also developed techniques for uncertainty quantification of digital soil maps generated by deep learning algorithms. More recently, his interests moved towards better understanding on the use of statistical learning algorithms in soil science: how to interpret machine learning models and how to extract pedological knowledge from them. He is also part of the Australian Terrestrial Ecosystem Research Network in collaboration with the CSIRO to map soil biodiversity and soil carbon dynamic at high spatial resolution in Australia.