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. 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 quantitative constraints on cosmological and astrophysical parameters.

I grew up in Cornwall, in the south west of the UK, where you would most likely have found me on the beach with my nose in a book. I spent my undergraduate years at Cardiff University, before moving to London to join the Bank of England. I then undertook my PhD at the University of Sussex under the supervision of Peter Thomas and Stephen Wilkins. Since then I have been bouncing around the south east of England, and am now a postdoctoral research associate at the Kavli Institute for Cosmology, University of Cambridge.

Please do reach out if you wish to discuss any aspect of my research; I am always excited to talk about astrophysics, science and technology. I am open to collaboration on any of the projects described here, and any and all contributions to our public code bases are very welcome!

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