Early in my career I received a Bachelor of Information Systems and spent some time working in software development. Later, I returned to university to undertake a Bachelor of Science (hons) majoring in bioinformatics, bringing the computational skills I possessed to a long-lived love of the complexity and elegance of biological systems.
As a PhD student, I am interested in using advanced machine learning and signal processing techniques to extract and convey rich, novel patterns of information buried in large biological datasets, and in using these to inform a systems-level view of biological function and behaviour. At present I enjoy working with live-cell fluorescence microscopy data to investigate the behaviour of the protein kinase Akt.
I am interested in viewing the flow of information from model biological systems through experiments to analysis and modelling as a unified pipeline. I believe that by combining our biological questions with an understanding of the needs, nature and capacities of downstream analysis stages we can better inform experimental design to generate high-quality, informative data. The rise of high-throughput methods offers new challenges and opportunities not just to produce larger amounts of data, but to interrogate and biological systems in new and exciting ways.