I am a computational astrophysicist developing numerical models of core-collapse supernovae and fitting to spectral observations. My work to date has focussed on the development of my radiative transfer code DAMOCLES and its application to fitting the optical and near-IR line profiles of core-collapse supernovae and supernova remnants.
I use Bayesian inference and MCMC to explore a carefully selected parameter space and calculate robust posterior distributions when modelling. I am involved in a variety of projects that use advanced statistical techniques to investigate supernova spectra and photometry. I very much enjoy designing and producing detailed simulations and have expertise in Monte Carlo radiative transfer.
Scientifically, I am interested in supernovae and their environments and in particular how we can use detailed 3D models of supernova remnants to understand the physics of supernova explosions. I am also interested in the formation and evolution of cosmic dust in the Universe. Much of my work examines the role of supernovae as efficient dust factories in the early universe. More information on my current projects can be found here.
Outside of research, I spend time focusing on issues of welfare, student support and equality & diversity. Alongside participation in numerous committees, I am a member of The 1752 Group and a mentor for The Supernova Foundation. I enjoy participating in outreach activities and am an active mentor to aspiring scientists. If you're interested in booking me for an event, please contact me.