2015 - Present: PhD in Physics, University of Cambridge. Supervisors: Prof. Anthony Lasenby and Prof. Mike Hobson.
2011 - 2015: MPhys in Physics, University of Oxford.
I am a second year PhD student working on Bayesian inference methods and their applications in astrophysics and cosmology, including to black holes and gravitational waves. Recently my research has focused on nested sampling, Bayesian compressed sensing and neural networks. I created the dynamic nested sampling algorithm; a generalisation of nested sampling which is significantly more efficient for most parameter estimation problems. I am also interested in machine learning and theoretical cosmology.
Part II General Relativity
Part III Relativistic Astrophysics and Cosmology
Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation, E. Higson, W. Handley, M. Hobson and A. Lasenby, 2017, arXiv:1704.03459
Sampling errors in nested sampling parameter estimation, E. Higson, W. Handley, M. Hobson and A. Lasenby, 2017, arXiv:1703.09701
The effect of phase front deformation on the growth of the filamentation instability in laser-plasma interactions, E. Higson, R. Trines et al., 2013, New Journal of Physics 15 (1), 015027