My research is focused on the utilisation of quantitative genetics, genomics and biostatistics in plant breeding. I am fascinated by the opportunities arising from modern high-performance computational technologies which allow the combination of classical phenotype-based selection with molecular data and optimisation of the structure of breeding programs. Having studied agricultural sciences and crop science, one of my key objectives is to make scientific knowledge and novel methods useful in practice. During my doctoral project at the University of Giessen (Germany) I was involved in a large collaborative project investigating the application of state-of-the-art genotyping and phenotyping technologies for modelling and prediction of hybrid performance in canola. At the Roslin Institute I am working on the development and evaluation of selection strategies and their implementation in plant breeding programs using stochastic simulations. My current research project deals with the integration of genomic prediction in a commercial strawberry breeding program.