Mathematical Biology Analysis Prediction
|Name (sorted in ascending 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||Chancellors Fellow||
I use genetics and breeding to manage and improve populations. I am interested in: (i) applied breeding, (ii) design and optimisation of breeding programs, (iii) methods for population and quantitative genetics and breeding, and (iv) analysis of complex traits to unravel their biological basis and to inform new ways of breeding.
|Professor Chris Haley||Group Leader||
Understanding complex trait variation in humans and other species.
|Professor John Hickey||Chair of Animal Breeding||
Our group AlphaGenes focusses on the development and application of quantitative genetics methods and computational approaches for animal and plant breeding programs collected at the AlphaSuite. Currently our overarching research aim relates to the development of what we call Genomic Selection 2.0. We envisage that GS2.0 would be underpinned by huge quantities of sequence data generated at low cost and could enable several new ways of driving genetic improvement and biological insight.
|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.
|Professor John Woolliams||Personal Chair of Mathematical Genetics||
Quantitative genetics of selected and managed populations, design and operation of breeding schemes, prediction of genetic merit for complex traits and genetic epidemiology.