Dr Matthew Ritchie

Dr Matthew Ritchie



Dr Matthew Ritchie profile photo



BMathSc (Hons) CQU PhD Melbourne

Laboratory Head

My laboratory uses statistical methodologies to provide new insights into the genetic basis of health and disease. Medical research is embracing high-throughput technologies that generate large and complex data sets. Rapid advances in this field require the development of advanced software tools.

We develop specialised analysis methods for large and complex biological datasets. We collaborate with research groups throughout the institute to uncover changes in gene regulation that occur during normal blood development and in the context of diseases such as cancer. Our research has accelerated the development of more effective cancer therapies and our statistical methods are extensively used by researchers worldwide to make new discoveries.

Research interest

Our time is divided evenly between methodological work and primary data analysis of both in-house experiments from our collaborators and public datasets to provide new insights in gene regulation in health and disease.

We develop statistical methods that are tailored to solve problems in genomic analysis in medical research. We create open-source software tools in R / Bioconductor to handle data from a wide range of applications.

Current projects include:

  • Statistical methods for modeling variation in RNA-sequencing data.
  • Software for analysing data from shRNA and CRISPR/Cas9 genetic screens to uncover gene function.
  • Improved genotyping algorithms for Illumina’s SNP BeadArrays used in disease studies.
  • Methods to explore epigenetic and genetic regulation in haematopoiesis and cancers.