My research interests centre on using quantitative genetics to drive genetic gain and efficiency in plant and animal breeding programmes.

Previous work at the Roslin Institute focused on using genomic prediction to demonstrate and exploit synergies between plant and animal breeding.

Stochastic simulations were used to quantify the impact of new genomic breeding strategies in a wide variety of settings; from low to middle-income (LMIC) dairy cattle breeding programs to large, well-funded maize breeding programs.

My work at QAAFI will focus on the development of prediction methods that combine biological, environmental and management information under a unifying framework.