Keynote speakers
It is a great pleasure to announce the following Keynote Speakers for the geoENV 2018 conference:
Professor Peter Diggle, Lancaster University, UK
Dr Oy Leuangthong, Principal Geostatistician, SRK Toronto, Canada
IAMG Distinguished Lecturer Dr Grégoire Mariéthoz, University of Lausanne, Switzerland.
Keynote Lecture: Spatial data analysis and model-based Geostatistics in epidemiology
Peter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University. He also holds Adjunct positions at Johns Hopkins, Yale and Columbia Universities, and was president
of the Royal Statistical Society (2014-2016).
Between 1974 and 1983 Prof Diggle was a Lecturer, then Reader in Statistics at the University of Newcastle upon Tyne. Between 1984 and 1988 he was Senior, then Principal, then Chief Research Scientist and Chief of the Division of Mathematics and Statistics at CSIRO, Australia.
Prof Diggle’s research involves the development of statistical methods for spatial and longitudinal data analysis and their applications in the biomedical, health and environmental sciences. He was awarded the Royal Statistical
Society’s Guy Medal in Silver in 1997.
Keynote Lecture: Geostatistics estimation and prediction of natural resources
Oy Leuangthong is a Principal Geostatistician with SRK Consulting (Canada) Inc. She has over 15 years of experience in geostatistics for resource characterization and uncertainty assessment in the mining and petroleum industry. Prior to joining SRK, she was an Assistant Professor in Mining Engineering at the University of Alberta in Edmonton, Alberta.
She continues to teach geostatistics in various industry courses to engineers and geologists from national and multinational companies in North and South America. She has also consulted on a range of projects in both the mining and petroleum industry. Further, she has co-authored 2 books, 18 journal papers and over 30 conference articles.
IAMG Distinguished Lecture: Multiple point geostatistics for earth observations
Gregoire Mariethoz’s research and teaching areas revolve around geostatistics, image processing, data analysis methods and their application to earth observation, remote sensing, hydro(geo)logy and inverse problems.
He obtained his PhD at the University of Neuchâtel in 2009. After that, he worked as a researcher at Stanford University where he focused on developing methods for reservoir characterization and for the resolution of hydrogeological inverse problems. 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 over 75 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.
