Prof Frauke Kreuter
Professor Frauke Kreuter is Director of the Joint Program in Survey Methodology at the University of Maryland, USA; Professor of Statistics and Methodology at the University of Mannheim; and head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nürnberg, Germany. She received her Master in Sociology from the University of Mannheim, Germany, and her PhD in Survey Methodology from the University of Konstanz. Before joining the University of Maryland she held a postdoc at the UCLA Statistics Department. Her research focuses on sampling and measurement errors in complex surveys. In her work at JPSM she maintains strong ties to the Federal Statistical System, and served in advisor roles for the National Center for Educational Statistics and the Bureau of Labor Statistics.
Prof Kerrie Mengersen
Professor of Statistics, Science and Engineering Faculty, Queensland University of Technology. Distinguished Professor Kerrie Mengersen is an Australian Research Council (ARC) Laureate Fellow in the School of Mathematical Sciences at QUT and is Deputy Director of the ARC Centre for Mathematical and Statistical Frontiers: Big Data, Big Models and New Insights (ACEMS). Her focus is on using and developing new statistical and computational methods that can help to solve complex problems in the real world. These problems are in the fields of environment, health and medicine and industry.
At QUT, her Bayesian Research and Applications Group (BRAG) comprises around 30 awesome postgraduate and postdoctoral researchers.
Some of the recent projects they have worked on are:
Conservation-focused: The health of coral reefs; biosecurity and rare species.
Other projects include: Human diseases, Cancer mapping, Virtual Reef Diver, Airport monitoring and the Queens Wharf project in Brisbane.
In 2016, Kerrie Mengersen was awarded the Pitman Medal, the highest honour to be presented by the Statistical Society of Australia and the first woman to receive it.
In 2018, she was elected a Fellow to the Australian Academy of Science (AAS) and also the Academy of Social Sciences Australia (ASSA)
Prof Renate Meyer
Prof Meyer is an applied Bayesian statistician. After obtaining an MSc in Mathematics ( for which she was awarded the Springorum Denkmuenze) from the RWTH Aachen, Germany, Prof Meyer worked as a research scientist in the Department of Medical Statistics from 1988-1993 and did a PhD in Mathematical Statistics also at the RWTH Aachen. Prof Meyer then took up a lectureship in Statistics at the University of Auckland in 1994.
Prof Meyer is working on applied Bayesian inference and MCMC methods with interdisciplinary research collaborations and applications in astrophysics, econometrics, fisheries, marine ecology, medicine and engineering. Contributions to the development of MCMC methodology have been published in Statistics and Computing, Computational Statistics and Data Analysis, and Computational Statistics.
Prof Meyer’s ongoing collaboration with astrophysicists Nelson Christensen, Carleton College, started in 1998 when they pioneered the MCMC approach to gravitational wave and cosmic microwave background radiation data analysis. This started a Marsden and NSF funded research program which led to world-wide collaborations and ground-breaking contributions to the development of MCMC-based data analysis strategies for LIGO with a series of publications in top-ranking Physics journals PRD and PRE. Some of these papers build the foundations of the MCMC techniques used to estimate the parameters of the two binary black hole mergers detected on September 14, 2015 by the Advanced LIGO interferometers and are cited in the parameter estimation paper that accompanied the famous detection paper by the LSC, published in Physical Review Letters on Feb. 11, 2016.
Prof Meyer is chair of the NZ Astrostatistics and General Relativity Group, which comprises statisticians and astrophysicists from the University of Auckland, Victoria, Canterbury and Otago. In 2019, they joined the LISA (Laser Interferometric Space Antennna) Consortium that leads the European Space Agency mission of observing gravitational waves from space, see also the NZ Herald article.
Prof Robert Gould
Robert is a teaching professor and vice-chair of undergraduate studies in the Department of Statistics at UCLA. He has been active in statistics education and data science education since 1994. As lead principal investigator of the Mobilize project, he is the architect of the Mobilize Introduction to Data Science course, a year-long high school course implemented in 16 school districts.
He is the founder of the DataFest, a 48-hour undergraduate data analysis competition sponsored by the American Statistical Association and held at 42 sites around the world. With two-year college professors Colleen Ryan and Rebecca Wong, he co-authored an introductory statistics book published by Pearson Higher Education. Robert was elected Fellow of the American Statistical Association in 2012 and in 2019 was awarded the CAUSE Lifetime Achievement Award for Statistics Education and the American Statistical Association Waller Distinguished Teaching Career Award.
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Prof Noel Cressie
Noel Cressie is Distinguished Professor at the University of Wollongong, Australia, and Director of its Centre for Environmental Informatics, a vibrant interdisciplinary research group with interactions and grants both in Australia and internationally in spatio-temporal statistics, satellite remote sensing, and broader fields of environmental science. He is also Adjunct Professor at the University of Missouri (Columbia, MO) and Affiliate of NASA’s Jet Propulsion Laboratory (Pasadena, CA). Cressie received his BSc (Hons I) from the University of Western Australia and an MA and PhD in Statistics from Princeton University, USA. His past appointments have been at The Flinders University of South Australia, Iowa State University, and The Ohio State University. He is author and co-author of four books, the latest one, “Spatio-Temporal Statistics with R” by Wikle, Zammit-Mangion, and Cressie, was published in 2019 by Taylor and Francis (https://spacetimewithr.org). Cressie is a Fellow of the Australian Academy of Science, the Royal Society of New South Wales, and several other learned societies.
Prof Li-Chun Zhang
Li-Chun Zhang is Professor of Social Statistics at University of Southampton, Senior Researcher at Statistics Norway, and Professor of Official Statistics at University of Oslo. His research interests include finite population sampling design and coordination, finite graph sampling, sample survey estimation, non-response, measurement errors, small area estimation, index number calculations, editing and imputation, register-based statistics, statistical matching, record linkage. His involvement in research projects include the EU framework projects EURAREA, DACSEIS, RISQ and BLUE-ETS; the ESSnet projects Small Area Estimation, Data Integration and Quality of Multisource Statistics; the H2020-project InGRID-2; the ESRC-projects ADRCE, NCRM-SAE.
Australian Bureau of Statistics (ABS) Sponsored Keynote Speaker
Prof Anders Holmberg
Anders Holmberg joined the ABS in September 2019 as the Chief Methodologist.
Anders has a background as a survey methodologist, developing both theory and practice within data collection methodology, survey sampling theory and register based statistical methods.
Immediately prior to joining the ABS, Anders was the Chief Methodologist at Statistics Norway. He was also the Principal Statistician at Statistics New Zealand from 2014 to 2016, where he worked with traditional censuses and administrative data systems.
In 2012-13, Anders was responsible for the management of the Cambodian Socio-Economic Survey, as well as training staff throughout the statistical value chain. He enjoyed a 13 year career at Statistics Sweden (1999-2012), undertaking a variety of roles. Prior to this, he was a lecturer at Örebro University.
He has a PhD in statistics from Uppsala University with the thesis “Essays on Model Assisted Survey Planning”.
Griffith University – Menzies Health Institute of QLD Sponsored Keynote Speaker
Prof Robert Ware
Professor Robert Ware is a biostatistician and clinical epidemiologist. Robert has worked as an academic biostatistician for more than 15-years and has extensive experience working with clinical colleagues on randomised trials and cohort studies. His research expertise centres on the design and analysis of longitudinal studies, with a methodological focus on developing statistical methods to deal with the impact attrition, missing data and non-compliance have on effect estimators. As a consequence of his research program and his collaborative work with clinicians, he has developed an extensive theoretical and practical knowledge of the design, conduct, and analysis of both observational and experimental studies. Appointed as the inaugural Professor of Biostatistics, Robert joined Griffith University in September 2016. Before joining Griffith University, Robert completed his PhD in Statistics at the University of Canterbury (NZ) in 2003, before being employed at The University of Queensland as a Post-Doctoral Fellow (2003-07) and Research-Focused Academic (2008-16). Robert’s applied interests include vaccine epidemiology and childhood infectious disease. Robert has co-authored more than 330 peer-reviewed articles, including publications in the Journal of the American Medical Association, the New England Journal of Medicine, and Lancet.