We are a diverse team, passionate about using genetic and information technologies to change the world.
Our team are
passionate specialists committed experts
With over 20 years of expertise in genomic science, our team provides genomic leadership and research-driven biological, DNA-based, and genomic analysis services for commercial and research applications.
Many of our team members have been awarded Master’s level degrees and PhD’s for their study and work in plant and molecular biology, population genetics, organic chemistry, biotechnology, locus identification, genome complexity reduction methods, and computational genomics.
With our combined expertise and experience, our team is passionate about exchanging information and knowledge sharing to make a lasting difference in creating a sustainable future through genomic sciences.
Meet some of our team members below, or find out more about our research.
Meet some of our experts
Damian was involved in the development of some of the original Diversity Arrays microarray technology.With his background in biochemistry and molecular biology, Damian’s PhD work explored genome complexity reduction methods for rice and mouse, both in the lab and in-silico. His interests include marker designs, disease detection, innovative R&D, and metagenomic analysis methods.
Jason has played a key role in the development of the principle tools for marker data generation and the sequencing library methods for DArTseq, Targeted Genotyping and DArTreseq. With the analytics team, he has a focus on the creation of new automated pipelines for provision of the company’s data services and the integration of these services in the One DArT domain, combining data storage and analytics for high volume, high throughput applications.
With a Diploma in Management and having studied Laboratory Technology Pathology Testing, Colleen is a valued member of the DArT team. Colleen has been involved in the operation of our previous microarray facilities and currently supports our laboratory operations, administration and finance teams.
Richard is currently working on a PhD in computational genomics, to complement a Bachelor of Science in Mathematics and Computer Science, with a first class honours in mathematics. He has spent more than a decade researching and applying statistical and computational methods to uncover disease signals in human disease datasets. For DArT, he works on developing and applying machine learning methods to predicting trait outcomes in agricultural breeding programs.