RESEARCH
Quantitative methodologies need constant development to meet the demands from science and opportunities from new computing technologies. BioSS’s research is structured in three modules.
Statistical Bioinformatics
Developments in molecular genetics technologies are generating enormous quantities
of data, often of new data types. Simultaneously, new computing technologies, such
as clusters and the GRID, are allowing easy access to rapidly increasing computer
processing power and data storage capacity. BioSS aims to develop and automate
methodology for analysing these data, harnessing the computing power to extract
maximum information from the data.
Process & Systems Modelling
Mathematical modelling has a key role in achieving many scientific objectives. BioSS
will ensure that the modelling is as effective as possible, by addressing generic issues
including: simplification, analysis and approximation of models for complex systems;
parameter estimation and model selection in stochastic process models; Bayesian
methods for decision support; and methodologies for modelling risks to biodiversity,
and complex interactions in epidemic processes. The strategy will be to develop
methodology in the context of specific collaborative applications.
Statistical Methodology
Statistical methodology needs constant development, firstly to keep pace with the
requirements of new technologies being used in the biological and environmental
sciences, and secondly to address new questions that arise as science becomes ever
more quantitative. In particular, there is a pressing need for new methodology to
correctly interpret large, highly-structured data sets. BioSS will develop and adapt
methodology in the key areas of image analysis and spatially-, temporally- and spatiotemporally-
structured data.
KNOWLEDGE TRANSFER: Postgraduate Research & Training
We seek to recruit students with strong mathematical, statistical, or computing backgrounds, good communication skills and enthusiasm for applying theoretical results.