Within the Centre for Astrophysics Research (CAR) we perform world-leading research spanning the discovery of exoplanets, the nature of star formation within our Milky Way and the formation and evolution of galaxies. Computational neuroscience and machine learning, a focus of the Biocomputation Research Group in the Centre for Computer Science and Informatics Research (CCSIR), are thriving areas of interdisciplinary research at the interface between computer science, mathematics and biology. The approach taken by the Biocomputation group is unique as it combines, in addition to computational modelling and mathematical analyses, cutting-edge work in neuromorphic computing, neural data analysis and machine learning. In the past few years we have (1) recognised an urgent need to apply the very latest data science and machine learning techniques to analyse ‘big’ astronomical and biological data, and (2) identified clear opportunities to apply our expertise to problems in fields outside our discipline, not only in other scientific fields (such as Life and Medical Sciences), but also in practical areas closely aligned to the Government's Industrial Strategy (e.g. agritech, data economy). To this end we have initiated an internal cross-disciplinary collaboration between CAR and CCSIR that is delivering not only scientific results (Hocking et al. 2018), but also demonstrated the potential for impact in the private sector (e.g. through a successful on-going collaboration with an industrial partner). Currently, this is a small cross-disciplinary research group led by Geach and Steuber.