I am program director for Trillium Technologies in Australia and New Zealand, working on interdisciplinary projects involving artificial intelligence, space technologies and scientific data. I hold honarary positions at Macquarie University and Sydney University, where I previously worked as a professional astronomer, using radio telescopes to investigate the interstellar medium in the Milky Way.
I am passionate about building strong links between academia and industry, and between diverse scientific fields. 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.
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.
Applying machine learning to identify shark
species using drones. In collaboration with the
NSW Department of Primary Industries and NSW Surf Life
One-day workshop on using drones and
satellite data, hosted by Macquarie
University in 2019.
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
Contact for postal address.