I am Professor of Business Analytics, in the Department of Econometrics and Business Statistics at Monash University, a Fellow of the American Statistical Association, and the Editor of the Journal of Computational and Graphical Statistics. My research is in data science, data visualisation, exploratory data analysis, data mining, high-dimensional methods and statistical computing. I love engaging in research, working with data, teaching, advising students and developing open source software.
Much of my work has been on developing interactive statistical graphics for high-dimensional data, and the implementation has been in these software packages: xgobi, ggobi, cranvas. The primary methods include tours, projection pursuit, manual controls for tours, pipelines for interactive graphics, a grammar of graphics for biological data, and visualizing boundaries in high-d classifiers. I have also experimented with visualizing data in virtual environments, and found that people do see clusters better in that environment than on a single computer screen.
My current work focuses on bridging the gap between statistical inference and exploratory graphics. We are doing experiments using Amazon's Mechanical Turk, and eye-tracking equipment. We have found that we can crowd-source people to read plots that can provide statistical significance on visual discoveries. Its very exciting work. We can also use the crowd-sourcing methods to rigorously test whether one data visualisation design is better than another for communicating information.