Bio

Will Handley is a Royal Society University Research Fellow at the University of Cambridge

Research interests

In addition to theoretical investigation, he also examines the observational consequences of these new ideas; testing theories against the latest data from microwave telescopes and large scale structure surveys using the University supercomputers. He works on developing novel Bayesian machine learning algorithms for high-dimensional parameter estimation, model comparison and tension quantification using nested sampling. Possible applications currently under investigation include protein folding, sparse reconstruction for facial recognition and Bayesian neural network training.

He leads the data analysis team for REACH, a team of cosmologists designing and operating a radio telescope to make an unambiguous detection of the global 21cm signal coming from the cosmic dawn.

He is a convener of the GAMBIT cosmology working group, working with a community of cosmologists, particle physicists and statisticians who use terrestrial collider data in conjunction with astrophysical observations to constrain theories of dark matter, neutrinos and modified gravity.