Mathematical Biology Analysis Prediction
|Name (sorted in descending order)||Role||Research Interests|
|Professor Georgios Banos||UoE Honorary staff||
Animal breeding, genomics and computational biology.
|Professor Mark Bronsvoort||Personal Chair of Veterinary Epidemiology||
I currently have a broad portfolio of interests including the epidemiology of foot-and-mouth disease and bovine tuberculosis and using molecular tools to understand transmission and spread at different scales in LMICs.
|Dr Helen Brown||Core Scientist (Statisician)||
To date my main research interest has been in mixed (or multilevel) models. These involve identifying and accounting for sources of variation and correlation structures in the data and offer potential advantages over conventional modelling methods including: improved efficiency, more appropriate variances and correlations, wider inference and offer the potential to overcome problems caused by missing data.
At The Roslin Institute my research will involve providing the statistical contribution to collaborative scientific research using a range of methods and developing novel statistical approaches to particular problems arising where appropriate. I expect to develop my research in mixed models further in addressing applications arising within the Institute.
|Professor Andrea Wilson||Personal Chair||
The Doeschl-Wilson group investigates how the genetics of individuals affects the spread of infectious disease, both within an animal and between animals. We are an interdisciplinary group of scientists aiming to effectively combine field and laboratory experiments with mathematical modelling and quantitative genetics theory, with the ultimate aim to improve livestock health and resilience.
|Dr Gregor Gorjanc||Chancellor's Fellow||
I lead HighlanderLab that manages and improves populations using data science, genetics, and breeding.
We are interested in:
(i) methods for genetics and breeding,
(ii) design and optimisation of breeding programs, and
(iii) analysis of phenotypic and genetic data to unravel biology and to inform new ways of improving populations.
|Professor Chris Haley||Group Leader||
Understanding complex trait variation in humans and other species.
|Dr Andy Law||Group Leader/Senior Research Fellow||
The development of simple-to-use systems for handling and reformatting data for genetic analyses.
|Professor Albert Tenesa||Personal chair of Quantitative Genetics||
Understanding how genetic variation influences normal and pathological variation in humans.
|Professor Mick Watson||Personal Chair of Bioinformatics and Computational Biology||
I am interested in what large datasets tell us about biological function, and how we can correlate patterns in big data with phenotypes of interest in farm animal health, disease and productivity.