Biomathematics & Statistics Scotland
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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

research image 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

research image 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

research image 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.