Keynote Speakers

Mr David Kalisch

David Kalisch resizedDavid W. Kalisch was appointed the 15th Australian Statistician on 11 December 2014. As Agency Head of the Australian Bureau of Statistics he is accountable for the functions and operations of the Bureau. He has also been appointed as the non-judicial member of the Australian Electoral Commission. 

Mr Kalisch is an economist with public sector experience in research and analysis, policy development and service delivery. He has an interest in labour markets, macroeconomics, retirement incomes, welfare to work strategies and health policy. He has pursued organisational performance and renewal through recent leadership responsibilities.

Mr Kalisch was previously the Chief Executive Officer of the Australian Institute of Health and Welfare for four years, a Commissioner at the Productivity Commission and a Deputy Secretary in the Commonwealth Department of Health. He has had Senior Executive roles in a range of Departments since 1991, has had two appointments at the Organisation for Economic Co-operation and Development (OECD) in Paris, and was a member of the Australian Delegation to the OECD.

He studied economics at the University of Adelaide, is a Public Policy Fellow at the Australian National University and is a Fellow of the Australian Institute of Company Directors.


Professor Jae-Kwang Kim

Professor KimJae-kwang Kim is a former Director of the Center for Survey Statistics and Methodology and a Professor in the Department of Statistics at Iowa State University. He is a fellow of ASA and the recipient of 2015 Gertrude M. Cox award. He is a coauthor of the book Statistical Methods for Handling Incomplete Data. He has worked for the Census Bureau, Westat, and has also acted as a consultant for several national surveys in Korea. He has published more than 50 papers in the area of survey sampling and missing data analysis.





Dr Kay Lipson


Kay is currently the Director of Strategy for Online Education Services (OES).  Founded in 2010, OES is a public-private partnership between SEEK, who have matched over 150,000 students with their ideal course and Swinburne University of Technology, a pioneer in online education with over 20 years’ experience.

The partnership’s first endeavour, Swinburne Online, was launched in 2011 with 10 undergraduate courses in the fields of Business, Social Science and Communication.  By 2015, Swinburne Online had expanded its offerings to include 21 undergraduate and postgraduate university courses, five TAFE courses and offerings for international students, with over 8,000 students currently enrolled.

Kay’s discipline area is Statistics, and she has previously undertaken academic roles at the University of Melbourne, Monash University, and Swinburne University of Technology.  Her most recent academic role in leadership was as Dean of the Faculty of Higher Education, Lilydale, at Swinburne University of Technology, from 2009 to 2011.


Professor George W Cobb

Cobb_headshot_resizedGeorge Cobb is emeritus Professor of Statistics at Mount Holyoke College, where he taught from 1974 through 2009. He received his undergraduate degree from Dartmouth College, a masters degree in biometry at the Medical College of Virginia, and a PhD in statistics from Harvard University. He was elected a Fellow of the ASA in 1993, served a term as vice president, and received a Founder’s Award in 2006. In 2005 he received an award for lifetime achievement at the US Conference on Teaching Statistics. This current year, 2016, he was chosen Mosteller Statistician of the Year by the Boston Chapter of the ASA. His interests include statistics education, applications of experimental design, and applications of statistics to the law. He has written an elementary textbook on design of experiments, has helped write textbooks for first and second courses in statistics, and is at work on a “popular science” introduction to Markov Chain Monte Carlo. 

George Cobb has spent his entire life changing his mind. His childhood ambitions, in succession, were to be a herpetologist, a center for the Green Bay Packers, a surgeon, a chemist, and, by the end of his senior year in high school, aspiring ever upward, a mathematician. It is no surprise, therefore, that when he graduated from Dartmouth College in 1968 he had been accepted into graduate programs in Russian literature. Like Mae West, he drifted, eventually earning a PhD in statistics from Harvard in 1974, but he maintains his love for mathematics as well as statistics and his conviction that Plato was right: mathematics is the easiest subject, and so every philosopher king should devote a decade to its study before presuming to tackle the harder subjects of politics and sociology. Cobb spent his entire teaching career at Mount Holyoke College, from 1974 until his retirement in 2009, dedicated to this conviction.


Professor Jeffrey Rosenthal

Jeff Rosenthal photo_resized

Jeffrey Rosenthal is a professor in the Department of Statistics at the University of Toronto. He received his BSc from the University of Toronto at the age of 20, his PhD in Mathematics from Harvard University at the age of 24, and tenure at the University of Toronto at the age of 29. He received the 2006 CRM-SSC Prize, the 2007 COPSS Presidents’ Award, the 2013 SSC Gold Medal, and teaching awards at both Harvard and Toronto. He is a fellow of the Institute of Mathematical Statistics and of the Royal Society of Canada. Rosenthal’s book for the general public, Struck by Lightning: The Curious World of Probabilities, was published in sixteen editions and ten languages, and was a bestseller in Canada, leading to numerous media and public appearances, and to his work exposing the Ontario lottery retailer scandal. He has also dabbled as a computer game programmer, musical performer, and improvisational comedy performer, and is fluent in French. His web site is

Professor Bill Cleveland 

wscWilliam S. Cleveland is the Shanti S. Gupta Distinguished Professor of Statistics and Courtesy Professor of Computer Science at Purdue University.

His areas of methodological research are in statistics, machine learning, and data visualization.  He has analyzed data sets ranging from small to large and complex in his research in cyber security, computer networking, visual perception, environmental science, healthcare engineering, public opinion polling, and disease surveillance.

In the course of this work, Cleveland has developed many new methods and models for data that are widely used throughout the worldwide technical community. He has led teams developing software systems implementing his methods that have become core programs in many commercial and open-source systems.

Today, Cleveland and colleagues develop the Divide & Recombine approach to large complex data. Each analytic method is applied independently to each subset in a division of the data into subsets. Then outputs are recombined. This enables a data analyst to carry out detailed, comprehensive analysis of big data, to use only the R interactive software environment, and to easily run analytic methods in parallel. This is achieved through (1) statistics research to find D&R division and recombination methods that give high statistical accuracy; (2) development of a D&R computational environment that merges R with the Hadoop distributed database and distributed parallel compute engine.

In 2016 Cleveland received the Lifetime Achievement Award for Graphics and Computing from the American Statistical Association, the first since 2010. In 1996 Cleveland was chosen national Statistician of the Year by the Chicago Chapter of the American Statistical Association.  In 2002 he was selected as a Highly Cited Researcher by the American Society for Information Science & Technology in the newly formed mathematics category. He is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, the American Association of the Advancement of Science, and the International Statistical Institute.

Professor Sue Wilson

Sue Wilson resizedSue Wilson is currently Professor in Stats Central, UNSW (fractional appointment).  She obtained her B.Sc. from the University of Sydney, and Ph.D. from the ANU, was a Lecturer in the Department of Probability and Statistics, Sheffield University, UK, and then held various research positions at ANU where she is now an Emeritus Professor in the Mathematical Sciences Institute.

Sue has over two hundred refereed scholarly publications in biostatistics and bioinformatics, with a particular emphasis in statistical genetics/genomics and statistical analyses of data produced by other omics technologies.

She is an elected member of the International Statistical Institute, elected Fellow of the American Statistical Association and of the Institute of Mathematical Statistics. She has held the prestigious position of President of the International Biometric Society (IBS). In 2011 Sue was awarded the inaugural E. A. (Alf) Cornish Award for her contributions to Biometrics, and in 2012 awarded Honorary Life Membership of IBS ‘for outstanding contributions to the development and promotion of the discipline of Biometry’, being the twentieth member (third woman) so-honoured since the Society’s beginnings (in 1947), and the first from the Australasian Region.

Professor Xue Li

xueli_resizedXue Li is a Professor at School of Information Technology and Electrical Engineering, The University of Queensland (UQ), Australia.

He leads a Social Computing research team and recently created a new type of software system,  namely the Opinion Search Engine (OSE).

Different from traditional search engines such as Google  (which searches files on WWW), the OSE searches social opinions from social communities over all  publically available social networks using Big Data fusion techniques. It offers users a comprehensive dashboard visualisation tool on issues discussed on social media. For example, OSE has been applied  to view opinions on UQ in terms of campus experiences, learning activities, and comparing and  contrasting UQ with other universities. Over the past 15 years, Professor Xue Li has published more than 160 research articles in journals, books, and international conferences. He was honoured as one of the ‘top 50 most powerful  people in Australia 2015’ for his work in Big Data by the Financial Review – the Power Issue 2015. He recently won the ‘Microsoft Start Up Q Award 2014’, as well as the ‘Best use of Open Data – QLD Premier’s Awards for Open Data 2014’.  

Professor Ming-Yen Cheng

Ming-Yen Cheng photo_cropped and resizedMing-Yen Cheng is Distinguished Professor at the National Taiwan University.  She received her BSc and MSc from the National Hsing Hua University in 1988 and 1990, respectively. In 1994 she obtained her PhD in Statistics from the University of North Carolina at Chapel Hill.  She joined the National Taiwan University in 1998, after being an Associate Professor at the National Chung Cheng University (1994-1996 and 1997-1998) and a Research Associate at the Australian National University from 1996 to 1997. In 2008-2010 she was Professor of Statistics at the University College London.

Ming-Yen Cheng is an elected Fellow of the Institute of Mathematical Statistics and of the American Statistical Association (ASA). In 1999 and 2016 she received the Outstanding Research Award from the National Science Council, now the Ministry of Science and Technology. In 2000 she was awarded the Young Researcher Publication Award from the Academia Sinica.  She is currently International Representative of the ASA Board of Directors. She has served the editorial board of the Annals of Statistics, Journal of the American Statistical Association, and others.

She is interested in a range of research topics including high-dimensional data, image analysis, non- and semi-parametric models, etc. She has had more than forty publications in prestigious journals including Journal of the Royal Statistical Society Series B, Annals of Statistics, Journal of the American Statistical Association and Biometrika.

Conference Key Dates

1 February 2016 – Registration and abstract submissions are open

29 July 2016 – Abstract submission closed

26 August 2016 – Authors notified

16 September 2016 – Early bird registration cut-off date

23 September 2016 – Extended early bird registration deadline

24 October 2016 – Preliminary program available

24 October 2016 – All authors registered

14 November 2016 – Final program confirmed

5 – 9 December 2016 – SSAI Conference dates

6 – 8 December 2016 – AusDM Conference dates

8 – 9 December 2016 – OZCOTS Conference dates


AusDM Program Dates

1 February 2016 – Registration and paper submissions open

2 September 2016 – Paper submission closes

24 October 2016 – Authors notified

7 November 2016 – Camera ready submission

9 November 2016 – Preliminary program confirmed

6 – 8 December 2016 – AusDM Conference dates


OZCOTS Program Dates

1 February 2016 – Registration and abstract submissions open

30 June 2016 – Abstract submission close

8 July 2016 – Authors notified

29 July 2016 – Deadline for papers to be refereed

16 September 2016 – Early bird registration cut-off date

23 September 2016 – Extended early bird registration deadline

24 October 2016 – All authors registered

24 October 2016 – Final versions of all papers submitted

24 October 2016 – Preliminary program confirmed

14 November 2016 – Final program confirmed

8 – 9 December 2016 – OZCOTS Conference dates

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