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Prof Gavin Shaddick

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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, and disease progression in rheumatology. A major focus is modelling global air quality by integrating information from multiple sources, including ground monitoring, remote sensing satellites and chemical transport models.

He is also actively engaged in research with the power industry, using big data to model demand profiles, forecasting demands and identifing customer profiles. Of particular 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 very large.

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.

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