This project will use observations of star clusters with the Hubble Space Telescope to disentangle the multi scale nature of star formation in local spiral galaxies.

This project aims to model performance of the MAVIS instrument on real galaxies samples drawn from available Hubble Space Telescope and James Webb Space Telescope imaging catalogues.

We are currently assembling a new supernova sample to constrain cosmology.

Redshifts are usually determined from the galaxies that host the supernovae, but some hosts are too faint. This project aims to improve the accuracy and precision of redshifts obtained from supernovae.

The Gaia mission has revolutionised our understanding of the Milky Way halo, but the biggest discoveries, which rely on individual abundances, are yet to be made.

We are currently collecting data for DEBASS, which will be the ultimate low-redshift sample of type Ia supernova and will be used to constrain the properties of dark energy.

We currently have a sample of 525 supernovae. All but 70 of them have redshifts. This project will search online catalogues for the missing redshifts.

The kinematics and morphology of typically massive disk galaxies has changed dramatically over the last ~9 Gyrs.

To investigate the role of mergers with smaller galaxies in shaping our Milky Way by using the data from stellar surveys and cosmological simulations of the NIHAO suite to identify stellar remnants of galaxies that merged with the Milky Way and explain their role in building the main components of the Milky Way.

This project will deliver a benchmark sample of stellar abundances for galactic archaeology for hundreds of thousands of stars.

We are searching for ways to improve supernovae as distance indicators using a new low-redshift sample of type Ia supernovae.

In collaboration with Omexom and the ACT Government, we are working on reducing light pollution in Canberra. This work involves aspects of using machine learning for monitoring, modelling population flows for automation, and looking at impacts on the environment as well cultural impacts.

Modelling the oscillations of Red Clump stars using stellar evolution codes to study their internal structure.

This project delves deep into understanding how stars create elements, contributing to unraveling the mysteries surrounding the origins of elements by extracting and tracing the element compositions of millions of stars using cutting-edge spectroscopic surveys.

The Physics of Supernovae: Using Observations to understand supernova progenitors, explosion energies, and nucleosynthetic production.

Supermassive black holes in the early Universe are more massive than we can presently explain. We aim to construct their demographics and reveal their origin.

“Fireballs in the sky” is a citizen science app as part of the Desert Fireball Network (DFN). DFN cameras in the Australian desert and the app trac meteors and space junk as it enters the skies.

The project will contribute to the science, development, and engagement aspects of the app.