Anthony Davison, M.A., M.Sc., Ph.D., École Polytechnic Fédérale de Lausanne, Switzerland
Anthony Davison has published on a wide range of topics in statistical theory and methods, and on environmental, biological and financial applications. His current main research interests are statistics of extremes, likelihood asymptotics, bootstrap and other resampling methods, and statistical modelling.
Davison also has research links with the NCCR Plant Survival at the University of Neuchâtel, for which he leads a group of researchers undertaking statistical and dynamical modelling. The problems studied here are very varied, ranging from methods for the analysis of microarray data, through modelling the behaviour of wasps and moths, to assessment of the effects of grazing by cows in their pastures.
In 2009 he was awarded a laurea honoris causa in Statistical Science by the University of Padova.
Anna Michalak, B.Sc., M.S., Ph.D., Carnegie Institution for Science, United States of America.
Dr. Michalak is a faculty member is the Department of Global Ecology of the Carnegie Institution for Science in Stanford, California, and an Associate Professor in the Department of Environmental Earth System Science at Stanford University.
Her research focuses on the development and application of statistical data fusion methods for characterizing complexity and quantifying uncertainty in environmental systems. Her current research interests focus on atmospheric greenhouse gas emission and sequestration estimation, water quality monitoring and contaminant source identification, and the use of remote sensing data for earth system characterization.
She is the recipient of numerous awards, including the Presidential Early Career Award for Scientists and Engineers, and the United States National Science Foundation CAREER award.
R. Mohan Srivastava, a geostatistical consultant with more than 30 years of experience in the practice of geostatistics, is one of the recognized experts in the application of statistical methods to earth science problems. He is the author of “An Introduction to Applied Geostatistics” and of more than 50 technical articles and reports on the theory and practice of geostatistics. He has a B.Sc. degree in Earth Sciences from M.I.T. and an M.Sc. degree in Geostatistics from Stanford University. He has applied geostatistics to a wide variety of mineral deposit projects, from initial assessments of grassroots exploration data to grade control and production planning in operating mines. He advises industry, government, academic and research organizations, and has often worked as an expert witness in litigation and arbitration. He has also often collaborated with software developers, providing ideas on the implementation of new tools for spatial statistical data analysis and for resource estimation.
Srivastava recently cracked the Canadian lottery, applying his geostatistical knowledge.