Organising Committee

Mark Griffin, Co-chair

Statistical Society of Australia & International Institute of Business Analysis

Mark Griffin is the Director of Insight Research Services Associated, a boutique agency working across the domains of business analysis, statistics, and IT. Mark also holds academic appointments at the University of Queensland and the University of Sydney. Mark is the Section Coordinator for the Statistical Society of Australia (SSA), the Founder and Co-Chair of the SSA Section for Business Analytics, the Asia-Pacific Regional Director for the International Institute of Business Analysis (IIBA), and Founder and Co-Chair of the IIBA Special Interest Group for Business Analytics

Christopher Drovandi, Co-chair

Statistical Society of Australia

Christopher Drovandi is an Associate Professor in Statistics at the Queensland University of Technology, Brisbane, Australia.  He currently holds an Australian Research Council Discovery Early Career Researcher Award.  His main research areas are in computational Bayesian statistics, optimal Bayesian experimental design and the translation of Bayesian methods to applied fields.  He is currently an Associate Editor of Statistics and Computing and the Chair of the Bayesian Section of the Statistical Society of Australia.  Dr Drovandi is an Associate Investigator of the Australian Centre of Excellence for Mathematical and Statistical Frontiers.

Marie-Louise Rankin

Statistical Society of Australia


Marie-Louise Rankin is the Executive Officer at SSA. She has been managing the office and providing support for the Society’s conferences since 2008. Though not a statistician herself, she loves attending the biennial conference because she gets to catch up in person with many of SSA’s members and meet potential new members.

Daniel Gerhard

New Zealand Statistical Association & University of Canterbury 

Daniel is the treasurer of the NZSA since 2016. He is a Senior Lecturer at the School of Mathematics & Statistics, University of Canterbury in Christchurch New Zealand with research interests in applied statistics, mainly in the area of dose-response modelling. Daniel is also a member of the Statistical Consulting Unit at the University of Canterbury.

Shu-Kay Angus Ng

Statistical Society of Australia & Griffith University

Shu-Kay Angus Ng is Professor of Biostatistics at the Griffith University. He received the Ph.D. degree in statistics from the University of Queensland in 1999. In 2003, he was awarded an ARC Australian Postdoctoral Fellowship. He joined the School of Medicine, Griffith University, in 2007. Professor Ng has engaged in many multidisciplinary research projects, clinical trials, Government and consultancy research contracts. His research interests lie in the fields of cluster analysis, survival analysis, multilevel and longitudinal analyses, and random-effects modelling, with particular focus being given to the theory and applications of mixture models, as well as computational statistics concerning the development of the EM algorithm for estimation of mixture models. Professor Ng has authored over 130 research publications. He is an Associate Editor of Journal of Statistical Computation and Simulation and has served in the Program Technical Panel for IEEE International Conference on Bioinformatics and Biomedicine BIBM 2017 and 2018.

Chris Brown

Statistical Society of Australia 

Chris Brown is a Biostatistician at the NHMRC Clinical Trials Centre, University of Sydney. He is a graduate of the Masters in Biostatistics program run by the Biostatistics Collaboration of Australia. His experience is in clinical trials (primarily oncology) and has also worked in the field of pharmacoepidemiology. He has a strong track record of accomplishment in trials research grants and publications, experience designing clinical trials and other research studies and in teaching applied statistics at the postgraduate level. Having worked for SPSS for 3 years he could make it do (almost) anything SAS and Stata could.  However, atv (after tidyverse) his preference is R (markdown) whenever possible.

Women in Statistics Dinner – Organising Committee

Dr Grace Joshy

Dr Grace Joshy is a Fellow within the Epidemiology for Policy and Practice Group at the National Centre for Epidemiology and Population Health. A biostatistician by training, she is experienced in population health research, and has high level technical expertise in analysing large population based studies and complex linked administrative datasets. She has particular interest in causal modelling and cohort studies, in particular survival models.

Brigid Betz-Stablien

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