|Position||Senior Research Fellow|
|Themes||Biostatistics; Computational Statistics; General Theory and Methodology|
Nathan has a number of years experience working on a wide range of projects across government and academia in defence and health.
Nathan studied mathematics and statistics at the University of Newcastle-Upon-Tyne and obtained a PhD in applied probability from the University of Liverpool. After working for the Ministry of Defence for several years, applying novel Bayesian Inference ideas, he moved back into academia and the field of public health in 2010.
Bayesian statistical modelling for cost effectiveness analysis and decision-making problems in the health systems, hierarchical/multilevel models and causal inference using the decision-theoretic approach.