Assistant Professor of Astrophysics
PhD from the IoA, Cambridge. Former Einstein Fellow at Johns Hopkins University (my Einstein fellowship application materials), McWilliams Fellow at Carnegie Mellon and Postdoctoral Researcher at the Institute for Advanced Study. Assisted with the Illustris Project.
Interests include various aspects of theoretical and numerical cosmology. Research involves performing large-scale numerical simulations of the Universe. These simulations help understand the nature of dark matter, how galaxies form and help measure the mass of the neutrino. Finally has a deep passion for machine learning techniques, using them to describe quasars, the emission from supermassive black holes.
Current interests are in emulator technologies: building models to interpolate between expensive simulations with different cosmological parameters using Bayesian statistics.
Notable works include research on LIGO Black Holes and Primordial Black Holes. The associated press release was featured in Daily Mail, the Washington Post, Reddit, New Scientist, Symmetry magazine and Nature amongst others. Recently we showed how machine learning can increase the effective size of simulations.