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.
I am leading the organisation of the 'cross-sensing' conference in November 2019. This meeting aims to teach machine learning & modern e-research techniques and to bootstrap cross-disciplinary projects via an expert-supported hackathon.
Click on the logo to go to the conference website.
Drone & Satellite Workshop
The Department of Physics and Astronomy at Macquarie
University hosted a free 1-day workshop on using drones
and satellite data for research. The meeting was held on
September 20th showcased research conducted using
drones and satellites, but also to address practical
questions on how to use these tools for research.
[Meeting web page].
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.