Harry Bevins


Affiliation: University of Cambridge

Bio: My research is focused on the application of machine learning tools and novel data analysis techniques to 21-cm Cosmology. I have been involved in the derivation of some of the first constraints on the properties of the early galaxies at high redshifts during the cosmic dawn using upper limits on the 21-cm sky averaged signal and power spectrum. I am a member of the ground based 21-cm experiment REACH and I am working on forecast constraints for CosmoCube to help understand what we can learn from the far side of the moon.