Saul conducts interdisciplinary research in evolutionary biology, quantitative genomics, bioinformatics, demography, and (a little) biological anthropology. His current projects include the prediction of crop yield and fitness from epistatic effects and several sideline projects, including an exploration of ageing rates under inclusive fitness models. Saul also currently works at the ARC Center for Excellence in Translational Photosynthesis within the Research School of Biology, where I am busy applying machine learning models to wheat genomic, satellite, and large-scale experimental data to predict flowering and yield phenotypes.