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Professor Geoff McLachlan

Australian Professorial Fellow

Professor McLachlan received his PhD from the University of Queensland in 1973 and his DSc from there in 1994. His current research projects in statistics are 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 his 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 Professor McLachlan's more recent interests in the field of data mining.

He is also actively involved in research in the field of medical statistics and, more recently, in the statistical analysis of microarray gene expression data.

As an ISI Highly Cited Author, Professor McLachlan is part of an elite club of less than half of one percent of all published researchers in the world.

He has published six monographs, 20 book chapters and more than 140 articles in peer-reviewed literature.

He has a personal chair in statistics in UQ's School of Mathematics and Physics, and a joint appointment with the Institute for Molecular Bioscience.

He currently holds an ARC Professorial Fellowship and is a chief investigator in the ARC Centre of Excellence in Bioinformatics.

In December 2010, Professor Geoff McLachlan was awarded the Statistical Society of Australia's highest honour - the Pitman Medal - to recognise his "outstanding achievement in, and contribution to, the discipline of statistics". He is only the 18th recipient of the medal since it was first awarded in 1978.

Located in Building 67 - Room 743
Phone: 52150
GCEd(Qld), BSc Hons(Qld), PhD(Qld), DSc(Qld)
Personal/External URL This an external website. The views and opinions that may be expressed in it are not of The University of Queensland.
Research Interests data mining, statistical analysis of microarray, gene expression data, finite mixture models and medical statistics.

Available Projects

Title Body Level
Clustering of High-Dimensional Data

This project is concerned with the clustering of high-dimensional data where the number of variables is much larger than the number of experimental units.  Consideration is to be given to the suitability and  effectiveness of the use of  factor models to enable normal mixture...

PhD Project
Masters Project
Honours Project
Critical Assessment of Automated Flow Cytometry Data Anlaysis Techniques

Traditional methods of analysing flow cytometry data rely on subjective manual gating. As modern day machines can now provide data on...

PhD Project
Masters Project
Honours Project
Statistical Analysis of Microarray Gene-Expression Data

This project is concerned with some of the problems and issues associated with the statistical analysis of microarray gene-expression data. One problem concerns the identification of genes that are differentially expressed between different classes containing tissue samples taken from subjects...

PhD Project
Masters Project
Honours Project
On Modelling Heterogeneous Data via Finite Mixture Distributions

Finite mixture distributions have become increasingly popular in the modelling and analysis of data due to their flexibility. This use of finite mixture distributions to model heterogeneous data has undergone...

PhD Project
Masters Project
Honours Project