About
Conor is a postdoctoral researcher in the Department of Pharmacology and Therapeutics at the University of Liverpool, where his research focuses on the development and application of advanced statistical methods such as Bayesian inference and data fusion. He employs techniques like Markov Chain Monte Carlo (MCMC), sequential Monte Carlo methods (SMC), and machine learning to tackle complex problems, particularly in healthcare and epidemiology. His work involves integrating diverse sources of data to create robust predictive models, with a strong emphasis on uncertainty quantification, improving decision-making in clinical settings, and addressing public health challenges.