Dr Benjamin Taylor PGCAPLecturer in Biostatistics
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.
- 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
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.
- BIOL143 - Introduction to Epidemiology: Global Health and Disease
- CHIC565 - Environmental Epidemiology
NIHR Applied Research Collaboration North West Coast
01/10/2019 → 30/09/2024
Modelling of the Spatial Distribution of HCV Infection in the Liver
01/02/2019 → 31/01/2020
DSI: Data Science of the Natural Environment
16/04/2018 → 15/04/2023
Proximity to Discover: Industry Engagement for Impact
31/03/2018 → 30/09/2019
Predicting urban food insecurity under climate change in Brazilian Amazonia
01/01/2014 → 31/12/2017
Computational Statistics and Data Analysis (Journal)
Journal of Quantitative Analysis in Sports (Journal)
Statistical Science (Journal)
Journal of Statistical Software (Journal)
Statistics in Medicine (Journal)
- Lancaster Intelligent, Robotic and Autonomous Systems Centre