Prof. Shaddick's research interests include the theory and
application of Bayesian hierarchical models and spatio-temporal modelling in a number of fields including
epidemiology, environmental modelling, disease progression in rheumatology. He is also actively engaged in research with the power industry, using big data to
model demand profiles, forecasting demands and identifing customer profiles, and the use of data reduction techniques.
interest are computational techniques that allow the
implementation of complex statistical models to real-life
applications where the scope over both space and time may be
He is a co-author of Spatio-Temporal Methods in Environmental
Epidemiology and the Oxford Handbook of Epidemiology for
Clinicians, which was Highly Commended in the Basis of Medicine
Category, BMA Book Awards 2013.