2018 IAMG Distinguished Lecturer 

 Grégoire Mariéthoz

MatheriozGregoire Mariethoz’s interests reside in ways of characterizing the spatial and temporal variability inherent to most hydrological systems. This involves developing and using a variety of methods including geostatistics (in particular approaches based on training images), image analysis and inverse problems. Such methods are then applied to complex datasets like remote sensing images, hydrological time series or complex aquifers.
He obtained his PhD in 2009 at the University of Neuchâtel, Switzerland. After that, he worked as a researcher at Stanford University, USA. He then moved to the University of New South Wales, Australia, where he was for four years senior lecturer in hydrogeology and chief investigator in the National Center for Groundwater Research and Training. Since 2014, he is professor assistant at the University of Lausanne in Switzerland.
His record includes 80 peer-reviewed journal papers and over 10 major research grants. He developed the Direct Sampling multiple-point simulation method and co-authored the first reference textbook on the topic of multiple-point geostatistics. Since 2016 he is co-editor-in-chief of the journal Computers & Geosciences.

Contact by email at This email address is being protected from spambots. You need JavaScript enabled to view it.


Organised Lectures

  • University Pierre et Marie Curie, Paris, France, 23 February 2018
    Title: Data expansion: using analogues to improve remote sensing and climate datasets

  • Shanxi University, School of Computer and Information Technology, China, 2-5 February 2018
    Title: New statistical models for representing spatial and temporal variability

  • Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, 6 February 2018
    Title: Multiple-point statistics: how they work, when to use them, or not to use them

  • Indian Statistical Institute, Bangalore, India, 1 June 2018
    Title: Data expansion: using analogues to improve remote sensing and climate datasets

  • Kyoto University, Japan, 7 June 2018
    Title: Enhancing Earth observation datasets using multiple-point geostatistics

  • geoENV 2018 conference in Belfast, UK, keynote speech, 4-5 July 2018
    Title: Multiple-point geostatistics applications for Earth Observation

  • IAMG 2018 conference in Olomouc, Czech Republic, keynote speech, 2-8 September 2018
    Title: TBA


last updated 2017-12-5

Additional information