The ARC Centre of Excellence for Mathematical and Statistical Frontiers proudly presents this lecture as part of its public lecture series.
About this event
Professor Matt Wand has been involved in statistical methodology research since the mid-1980s. During the second millennium, the internet either did not exist or was in its infancy and software dissemination was primitive. The advent of the internet and the establishment of websites such as the Comprehensive R Archive Network, which officially started February 2000 - have had a profound impact on applied and methodological statistics.
In this lecture, Matt will discuss statistical methodology development in the context of this relatively new era of organised software dissemination. He will address specific questions like:
- are traditional reward systems concerning promotion, grants, and other awards compatible with the organised software dissemination sea-change?
- who are the heroes and role models?
- and what is really like to produce and disseminate polished user-ready software after you have developed a new statistical method?
This public lecture will be 45 minute presentation followed by Q & A.
About the speaker
Matt P. Wand is a Distinguished Professor of Statistics at the University of Technology Sydney, and Chief Investigator for the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).
He has held faculty appointments at Harvard University, Rice University, Texas A&M University, the University of New South Wales, and the University of Wollongong. Professor Wand is an elected fellow of the Australian Academy of Science, the American Statistical Association, and the Institute of Mathematical Statistics.
He was awarded two of the Australian Academy of Science's medals for statistical research: the Moran Medal in 1997 and the Hannan Medal in 2013. In 2013 he was awarded the Statistical Society of Australia's Pitman Medal. He has served as an associate editor for several journals including Biometrika, Journal of the American Statistical Association and Statistica Sinica.
He has co-authored three books, more than 125 statistics journal articles and eight R packages.
Further details about Professor Wand's research, and papers are available here .