Anthony Arnold

Research interests: tree and direct N-body simulations, black holes

and gravitational radiation.


Sanjay Bloor

Research interests: the particle nature of dark matter, complementarity

of experimental signatures in physics beyond the Standard Model,

computational tools in particle physics


Zac Byrne

Research interests: extragalactic astrophysics, focussing on element

abundances and their effect on the formation andlife of galaxies. Also

galaxy simulations and black holes.


Joshua Calcino

Research interests: supernova cosmology with the OzDES galaxy survey.


Anthony Carr

Research interests: supernova Cosmology, redshift accuracy, systematic errors

and their effects on cosmological parameters


Chris Chang

Research interests: Super-Symmetric Extensions to the Standard Model and the

appearance of acausality in physics.


Simon Deeley

Research interests: galaxy evolution and its dependence on the surrounding

environment, currently focusing on how spiral galaxies transform into lenticular galaxies.


Aaron Glanville

Research interests: exploring the effects of redshift errors on cosmological

constraints, BAO cosmology and the General relativistic description of expanding space


Samuel Hinton

Research interests: testing cosmological models using large-scale structure and

supernova data; creating detailed visualisations, intuitive scientific software,

and automatic data pipelines.


Ellie Leitinger

Research interests: metallicities and kinematics of globular clusters, spectroscopy

and photometry, active galactic nuclei and reverberation mapping of black holes


Rebecca Jane Mayes

Research interests: using cosmological simulations to study galaxy disruption

in large galaxy clusters, with the goal of predicting the number of supermassive

black holes that are located within ultra-compact dwarf galaxies.


Andrew Penton

Research interests: Supermassive Black Hole mass measurements using

reverberation mapping, Active Galactic Nuclei (AGN) and general relativistic

Black Hole simulations.



Gary Segal

Research interests: information-theoretic perspectives on the second law of

thermodynamics.The application of machine learning in big data radio astronomy,

in particular, measures of 'interestingness' and unsupervised learning approaches

for detecting the unexpected.