Computational Genomics Domain Leader - Associate Professor Rod Lea
Rod is a mid-career researcher involved in identifying genetic factors involved in the susceptibility, pathogenesis and treatment response for human diseases. His specialist expertise lies in the fields of statistical and computational genetics and genomics. He has a particular interest in developing and applying bioinformatic techniques to analysing large and multidimensional omic data sets in relation to health outcomes.
Over the past 15 years Rod has used his expertise to address complex data analysis problems incorporating multiple levels of genetic, environmental and clinical information. His research efforts to date have led to 162 co-authored publications in high impact journals such as Nature, American Journal of Human Genetics, PLoS genetics, Genome Biology (Citations = 4736, H index = 37).
Rod has been employed academic at 4 different universities in Australia and New Zealand and has developed and delivered undergraduate and postgraduate courses in bioinformatics, biostatistics and statistical genetics. He has supervised 17 PhD students and 25 Masters and Honours students and has acted as a collaborator and consultant on a large number of research projects requiring bioinformatics and biostatistics expertise. Rod is a regular reviewer for NHMRC and ARC grant applications and sat on organising committees including Gene Mappers conference and ANZGene.
Currently, he manages a research programme focusing on using genome informatics to analyse whole genome and epigenome next generation sequencing data with a particular interest in developing predictive signatures for personalised treatments of neurological conditions such as multiple sclerosis, migraine, epilepsy and memory disorders.