Having completed a PhD in mathematics (University of Edinburgh) on exponential asymptotics of wave phenomena, in the summer of 2013, Chris progressed into biostatistics via a NIHR Research Methods Fellowship (University of Manchester). On completion of the fellowship, in August 2015, Chris joined the Cardiovascular Epidemiology Unit as a mathematical/statistical geneticist.
The genetics community is an established member of the ‘big data club’. Consequently, Chris’ main research interests lie in building computationally tractable statistical methods for the analysis of high-dimensional genetic datasets. Current methods include: (i) a Bayesian method for assessing genetic co-localisation of multiple phenotypes (≥2), across the genome, using summary level data and (ii) a finite-difference approach to estimate non-linear model parameters from the results of a misspecified linear regression, misspecified at the level of the outcome distribution owing to the need to efficiently control for latent population structure.