About Me

Associate Professor in the department of Physics and Astronomy in UC Riverside.

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.

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.

A recent focus has been the ASTRID simulation and the PRIYA simulation suite, which we used to perform a new analysis of the eBOSS Lyman-alpha forest, with intriguing results.

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.