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Areas of Consultancy:
Applied operational researchBayesian methodsCalibrationDesign and analysis of experimentsExploratory data analysisGLMs and other non-linear modelsMultivariate analysisSamplingSpatial statisticsStatistical computingStatistical inference
Region of consultancy:
David Fox is an Honorary Professorial Fellow at the University of Melbourne as well as Director of Environmetrics Australia - a consultancy offering advanced statistical modelling and training to governments, academia, and private organisations around the world.
QUALIFICATIONS • PhD., Statistics (1989) University of Wyoming (USA) • M.Sci, Statistics & OR (1979) Monash University • B.Sci (1976) Monash University. Major studies in Statistics and Operations Research. • C.Stat. (1993) Chartered Statistician, Royal Statistical Society, London. • C.Sci (2009) Chartered Scientist, Science Council London • PStat (2010) Professional Statistician, American Statistical Association PROFESSIONAL AFFILIATIONS • Member, American Statistical Association • Fellow, Royal Statistical Society • Member, International Environmetrics Society • Member Honor Society, Phi Kappa Phi CAREER SYNOPSIS • Substantial history of teaching and research in Universities in Australia, United Kingdom, and United States spanning 25 years. Institutions include: University of Melbourne, Monash University; Curtin University; Exeter University; University of Colorado; and University of Wyoming. • Taught and developed courses in mathematics, statistics, operations research, computer programming, research methods, and experimental design at all levels ranging from undergraduate to postgraduate studies and PhD. supervision. • Extensive experience in leading multi-disciplinary, multi-agency research teams. • Operated successful statistical consultancy businesses in Australia and the United States and Director of Environmetrics Australia - providing specialised contract services to government, industry, and academia.
Through Environmetrics Australia, Professor Fox and associates are able to provide unparalleled statistical consulting and training services including, but not limited to:
* advanced mathematical and statistical modelling;
* customised 'R-Apps' for mobile devices;
* large-scale data collection and processing tools;
* Tailor-made statistics short courses from elementary to post-graduate.