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Dianne Cook is Professor of Business Analytics at Monash University in Melbourne, Australia. Her research is in the area of data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit. A current focus is on bridging the gap between exploratory graphics and statistical inference. Technology plays an important role in data visualisation for evaluating effectiveness and for public consumption. Di utilises technology such as virtual environments, Amazon’s Mechanical Turk, and eye-tracking in her work, and makes an effort to share her work with open source software. Di is a Fellow of the American Statistical Association, elected member of the International Statistical Institute, past-editor of the Journal of Computational and Graphical Statistics, elected Member of the R Foundation, and current editor of the R Journal. Education is an important part of her contributions, and mentoring graduate research is a significant activity. Several of her students have won the prestigious American Statistical Association John Chambers Software Award, including Hadley Wickham, Yihui Xie, Carson Sievert, and most recently, Monash student Earo Wang.
Note: Di was a professor at Iowa State University from 1993-2015. She is listed as emeritus on that faculty web site and on wikipedia. This status was only requested because this made it possible to continue to supervise her graduate students after the move to Monash. She is not retired! Iowa State University has an amazingly long history of statistics research, and the department is broadly connected to other departments on campus, with an active and supported consulting mission, in parallel to core research. This rich environment led to successfully fostering statistical graphics research, which continues to have a very active group of faculty and students.
PhD in Statistics, 1993
MS in Statistics, 1991
BSc/Dip Ed in Mathematics, Statistics and Biochemistry, 1982
University of New England
Workshop Organised by the Monash Business Analytics Team, sponsored by the Monash University Network of Excellence on High-Dimensional Dynamic Systems
Leading the R community forwards in widening the participation of women and other under-represented groups.
Non-Uniform Monash Business Analytics Team: This is a research working group consisting of facutly, post-docs and students in Econometrics and Business Statistics at Monash University. The group meets regularly to discuss current research and host visitors talking to the group. If you would like to visit and present your work to the group, send email firstname.lastname@example.org.
The conference useR! 2018 will be held in Australia July 10-13, at the Brisbane Convention and Exhibition Centre. This is the first time that it has been held outside Europe or North America.
I am the instructor for the following courses at Monash University:
My current and recent PhD students are:
I am supervising Ursula Laa’s postdoctoral research.