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Home > Research > Researchers > Benjamin Taylor
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Current Postgraduate Research Students

Benjamin Taylor supervises 4 postgraduate research students. Some of the students have produced research profiles, these are listed below:

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Dr Benjamin Taylor

Lecturer

Benjamin Taylor

Furness Building

Lancaster University

Bailrigg

Lancaster LA1 4YG

United Kingdom

Tel: +44 1524 593499

Location:

Research overview

I work in the area of computational statistics. I am currently working collaboratively on spatio-temporal statistical methods, associated computational algorithms and the integration of these into web-based information systems.

Current Research

  • Methodological and computational aspects of log-Gaussian Cox Processes.
  • Combining data recorded at multiple spatial scales.
  • Filtering methodology and applications.
  • Forecasting meningitis incidence in sub-Saharan Africa in collaboration with the World Health Organisation.
  • Spatial modelling of survival outcomes

Research Interests

Methodological and computational aspects of log-Gaussian Cox Processes: I have authored an R package for Bayesian analysis of various kinds of log-Gaussian Cox processes.


Combining data recorded at multiple spatial scales: Often epidemiological exposure and outcome data is collected on different spatial units. I am interested in combining this information in a principled manner


Filtering methodology and applications:Particle filters are an advanced methodology for inferece with sequentially collected data, during my PhD I worked on an adaptive Sequential Monte Carlo Smapler. I am keen to use these methods where I can in my research. An example of where I have applied these methods is in the forecasting of meningitis incidence, below.


Forecasting meningitis incidence in sub-Saharan Africa in collaboration with the World Health Organisation: In this project, we provide WHO with real-time forecasts of Meningitis incidence in sub-Saharan Africa.


Spatial modelling of survival outcomes: This is joint work with my PhD student Emmanuel Singogo. We will be investigating new methods for analysing spatially-referenced survival data. We will be applying these methods to help understand survival patterns in a group of co-infected HIV/cancer patients in the Zomba region of Malawi.

Current Teaching

  • BIOL143 - Introduction to Epidemiology: Global Health and Disease
  • CHIC565 - Environmental Epidemiology

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