I am an astrophysicist focused on galaxy assembly and what galaxies can tell us about the nature of dark matter. I take a data-driven approach to astronomy research. I use statistics and machine learning to understand the physics of galaxy formation and dark matter from large observational galaxy surveys and numerical simulations of galaxy formation.

This research is at a crossoads of observation and theory. I specialize in making realistic mocks: telescope observations of galaxies formed in numerical simulations. Mocks allow predictions from galaxy formation and dark matter theory to be compared on the same footing with observations from real instruments. They also make it possible to infer how observed structures assembled and their connection to unobserved components, such as dark matter. Both of these tasks are faster and more sensitive using machine learning.

I did my PhD at the University of Victoria in Canada and previously held a Kavli Fellowship at the University of Tokyo. I am now a Forrest Fellow at the International Centre for Radio Astronomy Research at UWA.