My research in statistics is in the related fields of classification, cluster and discriminant analyses, image analysis, machine learning, neural networks, and pattern recognition, and in the field of statistical inference. The focus in the latter field has been on the theory and applications of finite mixture models and on estimation via the EM algorithm. A common theme of my research in these fields has been statistical computation, with particular attention being given to the computational aspects of the statistical methodology. This computational theme extends to my interests in the field of data mining. More recently, I have become actively involved in the field of bioinformatics with the focus on the statistical analysis of microarray gene expression data (McLachlan, Bean, and Peel, 2002; Ambroise and McLachlan, 2002; McLachlan, Bean, and Ben-Tovim Jones, 2006; Ng et al., 2006). I have coauthored a Wiley monograph (McLachlan, Do, and Ambroise, 2004) on the statistical analysis of microarray data, and I am a chief investigator in the ARC Centre of Excellence in Bioinformatics. I was awarded an Australian Professorial Fellowship by the Australian Research Council (ARC) to undertake research for 2007-2001 on the project Multivariate Methods for the Analysis of Microarray Gene-Expression Data with Applications to Cancer Diagnostics. Last year year, the second edition of my joint monograph on the the EM Algorithm was published by Wiley. Also last year, I was appointed to the College of Experts of the Australian Research Council and became President-Elect of the IFCS (International Federation of Classification Societies).