Dr Grégoire Mariethoz
PhD, Hydrogeology, University of Neuchatel, Switzerland, 2009
MS, Geology, University of Neuchatel, Switzerland, 2003
The main research interests of Gregoire reside in the development of stochastic methods that characterize the spatial and temporal variability inherent to hydrological systems. He develops new numerical techniques using high-order, non-parametric statistics, which allow for mining the full richness of modern data sets. This dense information content offers new avenues for data assimilation, integration of scale dependencies and prior spatial concepts.
One of his contributions has been to develop numerical methods that offer improved possibilities to integrate different kinds of data, especially soft knowledge such as geological concepts, expressed using the semi-qualitative concept of a training image. He designed algorithms to perform reconstructions and stochastic simulations, and also to address multiple non-linearly dependant variables. Parallel computing for the Earth Sciences is also a major topic of interest.
The aim is to make these methods appealing enough to be routinely used for describing hydrological processes and quantifying their uncertainty. This includes work on improvement, performance and usability of stochastic algorithms, as well as a wide range of applications to surface hydrology, hydrogeology and paleoclimate.
Before joining UNSW, Gregoire worked at the University of Neuchatel (2006–2009) and at Stanford University (2009–2010)