Patrick Gibbs

​ I am interested in applied computing for scientific research.

I am currently completing a Masters research project at the University of Melbourne. Here I am combining my skills in genetics and computing to improve genomic prediction, which is the use of machine learning to predict the phenotype of an organism based on its genomic sequence. Specifically I am developing an optimisation for genomic prediction which uses genome partitioning, making predictions based on similarities between sections of the genome between individuals in a dataset. My project tests whether using genome partitioning for genomic prediction can yield stronger and more generalisable prediction models.

​ My hope is this research will have uses in both agriculture and medicine; allowing farmers to better predict yield, or medical professionals to assess predisposition to disease.

For more information you can contact me here.
For further details on my project please see my research proposal here.
Research I completed as apart of my undergraduate degree can be found here.