Contact us

For enquiries relating to this blog, email statschat@gmail.com.

To get in touch with one of the blog’s authors, click on their names below:

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Professor Chris Triggs came to the department in 1990 from the former DSIR. Chris graduated PhD from Auckland. Chris's current research interests include experimental design, biometrics, and multivariate analysis.

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Chris Wild did his PhD at the University of Waterloo in Canada before joining The University of Auckland 1979. He is a Fellow of the American Statistical Association, a Fellow of the Royal Society of New Zealand, and an Editor of the International Statistical Review. He has been a Council member of the International Statistical Institute, President of the International Association for Statistics Education, an Associate Editor of Biometrics, the Statistics Education Research Journal (SERJ), and the Australian and New Zealand Journal of Statistics. He was Head of Auckland's Department of Statistics 2003-2007 and co-led the University of Auckland's first-year statistics teaching team to a national Tertiary Teaching Excellence Award in 2003.

His main research interests are in developing methods for modelling response-selective data (e.g. case-control studies) and missing data problems, and in statistics education with particular emphasis on statistical thinking and reasoning processes.

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Thomas Lumley (@tslumley) is Professor of Biostatistics at the University of Auckland. His research interests include semiparametric models, survey sampling, statistical computing, foundations of statistics, and whatever methodological problems his medical collaborators come up with. He also blogs at Biased and Inefficient

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James Curran's interests are in statistical problems in forensic science. He consults with forensic agencies in New Zealand, Australia, the United Kingdom, and the United States. He produces and maintains expert systems software for the interpretation of evidence. He has experience as an expert witness in DNA and glass evidence, appearing in courts in the United States and Australia. He has very strong interests in statistical computing, and in automation projects.

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Andrew Balemi is a Professional Teaching Fellow in the Department of Statistics at The University of Auckland. He is a former Head of Marketing Science at market research company Colmar Brunton.

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James Russell is a quantitative ecologist jointly appointed in the School of Biological Sciences and the Department of Statistics. He was the 2012 Prime Ministers Emerging Scientist prize recipient.

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Paul Murrell attended Auckland University for his BSc (in Computer Science), BA (in Psychology), MSc (in Psychology), and PhD (in Statistics!). He then spent a year at the University of Cambridge in the Department of Community Medicine as a medical statistician and research assistant, before joining the Department of Statistics at Auckland University in October, 1999. His research interests include computational and graphical statistics. He is currently part of the development team for the R and Omegahat statistical computing projects. He was elected a Fellow of the American Statistical Association in 2010.

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Maxine Pfannkuch's area of research is in statistics education. Currently she is exploring new ways of developing students' statistical inferential reasoning at the secondary school and undergraduate levels.

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Rachel Fewster joined the department in 1999, following degrees from St Andrews (PhD Statistics) and Cambridge (MA Mathematics).

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Peter Mullins came to the department in 1985. Peter graduated M.Sc. from the University of Auckland. His current research interests include total quality management and industrial applications of statistics. He works extensively in the area of Clinical Trials.

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Stephanie Budgett is a senior lecturer in the department.

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Karen McDonald is the department manager.

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Rachel Cunliffe is the co-director of CensusAtSchool and currently consults for the Department of Statistics. Her interests include statistical literacy, social media and blogging.

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Atakohu Middleton is an Auckland journalist with a keen interest in the way the media uses/abuses data. She happens to be married to a statistician.

For all other enquiries relating to the Department of Statistics, please visit our website: www.stat.auckland.ac.nz