I am a Ramsay Fellow at the University of Adelaide where I develop and apply statistical and computational methods to problems in physics and astronomy.
Previously I was a postdoctoral associate at the Institute for Data, Systems and Society (IDSS) and the Department of Physics at MIT, where I was advised by Kerstin Perez and Devavrat Shah. I completed my doctoral thesis in experimental nuclear and particle physics in Janet Conrad’s group. My thesis included a phenomenological study on a hypothetical new particle called a sterile neutrino. It also explored the use of three new statistical methods on the IceCube south pole neutrino telescope: a new approach to searching for populations of astronomical neutrino sources, the use of deep learning for data analysis on IceCube, and the use of Metropolis light transport for simulating the transport of light in the subsurface glacial ice.
I completed my undergraduate degree at the Australian National University, and graduated with honours. While at ANU, I did undergraduate research in atomic, plasma, and condensed matter physics; as well as applied mathematics. My honours thesis was on Total Absorption Gamma-ray Spectroscopy (TAGS), and I was advised by Greg Lane.
I have created a new approach to the statistical analysis of populations of point-sources, using Compound Poisson Generators. This method was originally devised for application to the NuSTAR X-ray space telescope, but it general enough for any dataset that contains point-sources.
I am currently extending this approach, along with other existing point-source inference methods, to account for the effect of mismodelling, so that these methods can be applied to the messy envinoments found in astrophysics.
You can find a complete up-to-date list of my publications at INSPIRE-HEP, and a list of selected publications at ADS.
