I am a researcher and lecturer in the Department of Physics and Astronomy at Macquarie University, Sydney, Australia. I specialise in using radio telescopes to investigate the interstellar medium, with a focus on magnetism and star-formation in the Milky Way.
I am particularly interested in using statistics and machine learning to unlock discoveries in 'big data' from new telescopes and surveys (e.g., ASKAP, POSSUM, GLIMPSE). These techniques are broadly applicable and I also work on cross-disciplinary problems in ecology and remote sensing.
Here you can find information on my research, software, teaching and outreach.
The Friendly Virtual Radio Interferometer is
Python software designed to simulate
astronomical observations by arrays of linked radio
RM-tools is a suite of scripts to analyse
Faraday rotation in polarised radio-continuum
data. Written in Python, it is available on
The H2O southern Galactic Plane
Survey imaged dense molecular clouds in 3D by
detecting water and
Dept. of Physics and Astronomy,
Faculty of Science and Engineering,
Macquarie University, NSW 2109.