PROF Tony Papenfuss



  • Research interest

    We develop novel bioinformatics methods to analyse and make sense of cancer '-omics' data. A major focus of our work is cancer evolution and intra-tumoral heterogeneity, particularly in melanoma. One of our aims is to develop practical measures of tumour heterogeneity and test if these are predictive of patient outcome.

    We are also interested in complex genomic rearrangements and the mechanisms underlying extreme amplification events in genomes. We have developed novel methods to identify these rearrangements and use mathematical models to make sense of them. With this approach we recently discovered the dynamic mechanisms underlying the formation of giant cancer-associated neochromosomes.



Member of

  • Australian Bioinformatics and Computational Biology Society. Member 2014 - 2019
  • International Society for Computational Biology. Member 2006 - 2019


Selected publications


Investigator on


Education and training

  • BSc(Hons), Monash University
  • PhD, Monash University 1999


Available for supervision

  • Y

Supervision Statement

  • My research group applies mathematics, statistics and computing to make sense of genomics data from cancer, particularly melanoma and myeloma, and other diseases. We develop novel methods to analyse this data and make sense of the results.
    A major focus of our work is cancer evolution, which is critical in understanding how tumours metastasise and develop resistance to therapies.
    We are also leading the genome analysis of the scabies mite. We aim to generate information that will accelerate research into scabies mite biology and its health impact in Aboriginal and Torres Strait Islander communities.