Computational biology (Network analysis of molecular interaction systems; Computational analysis of cellular signalling; Pathway analysis)
Computational cancer cell biology
Systems biology of cancer
The Davis Laboratory studies the regulatory networks that control the behaviour of cells in normal and cancerous tissues. We approach these questions with a suite of computational techniques that include classical bioinformatics methods, knowledge-based modelling, machine learning, and network analysis.
Our current focus is understanding the signalling and regulatory networks that underpin epithelial-mesenchymal transitions in breast cancer. Our work in this space is part of the EMPathy Breast Cancer Network, and is funded by the National Breast Cancer Foundation.
CASS Travel Grant
(Postdoctoral Travel Grants)
awarded by THE CASS FOUNDATION LTD
Education and training
The University of Queensland 2007
The University of Queensland 2002
Available for supervision
I have projects available for suitably qualified students wishing to conduct research in the Systems Biology of Cancer.
Research projects will focus on the development and application of methods in network and pathway analysis to heterogeneous cancer datasets including genomic, transcriptomic, and proteomic data. I have specific interests in the analysis of cellular signalling in breast cancer metastasis, and the use of computational methods to identify potential drug targets in signalling systems that trigger the epithelial to mesenchymal transition, and other processes associated with a progression from local to metastatic disease.
Students who are eligible to apply for a University of Melbourne RHD scholarship, and have a background in computer science, information theory, mathematics, bioinformatics, or computational biology are encouraged to apply. www.wehi.edu.au/people/melissa-davis