Chris Lovell

I am a computational astrophysicist studying how galaxies form and evolve.

My research focuses on the physical processes that shape galaxies and drive their diversity across cosmic time. A major theme is understanding the earliest galaxies, in the first billion years of the Universe, now observed in detail by the James Webb Space Telescope.

I use numerical simulations, forward modelling, and machine learning methods to connect theory with observations. This includes synthetic observables, deep-learning accelerators for simulation workflows, and simulation-based inference to place direct constraints on astrophysical parameters.

I am a member of the FLARES, Euclid, Learning the Universe, and CAMELS collaborations.