Peter uses computational statistics to study links between dark matter halo assembly, galaxy formation, and the growth of supermassive black holes. His research involves generating simulated universes for millions of different physical models, with the aim of constraining which physics best describes current observations and which new observations would best improve our current understanding of galaxy and black hole formation. These methods are especially powerful as they allow combining many disparate observations (across different redshifts, environments, and formation tracers) into a self-consistent description of the Universe.