I am a researcher working on interdisciplinary projects involving artificial intelligence, computer vision and scientific data. I am currently a lecturer in the Department of Physics and Astronomy at Macquarie University and hold an honarary position at the Sydney Institute for Astronomy, Sydney University. My background is in using radio telescopes to investigate the interstellar medium, with a focus on magnetism and star-formation in the Milky Way.
I am passionate about building strong links between diverse scientific fields, and between academia and industry. I believe in doing impactful science in a faster, more agile way. With these goals in mind, I founded the X-Sensing Conference in 2019 and I am leading the Bushfires Data Quest 2020.
Get incontact to find out more or if you have an idea for collaboration!
Can AI, primed with data from multiple satellites and local sensor networks, detect bushfires earlier, predict fire behaviour and help emergency services respond more effectively to protect homes, people and valuable natural capital?
The Bushfire Data Quest is a one-week interdisciplinary research sprint run in partnership with Frontier Development Lab and supported by government, academia and industry. Click on the banner image to find out more.
The 'cross-sensing' conference taught machine learning & modern e-research techniques, and bootstraped 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 1-day workshop on using drones and
satellite data for research. The meeting was held on
September 20th 2019 and showcased research
conducted using drones and
[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.