Dr Steve Newhouse studied Molecular Biology at Liverpool then went on to complete a PhD in Genetics at Queen Mary University of London. He has extensive experience the design and analysis of genomic data focusing on complex disease genetics. During his Phd developed an interest in bioinformatics and its application to human disease and translational research – “integrative translational ‘omics”, specifically in the challenge of integrating and analysing multiple sources of complex data – genomic, transcriptomic, proteomic and basic clinical and demographic data for biomarker discovery, novel therapeutic targets and a better understanding of human disease. Dr Newhouse has a wide range of experience in the analysis of data produced by expression and SNP arrays, next generation sequencing data and systems biology (network) based studies. His work has required the extensive use of multiple computational approaches such as machine learning methods and the creation of software tools and pipelines for mixed ‘omic data analysis, integration and applied predictive modeling. Dr Newhouse co-manages a large team of Bioinformaticians lead by Dr Richard Dobson at the the NIHR Biomedical Research Centre for Mental Health Bioinformatics core, King’s College London, and leads all sub-small team in all aspects of pipeline development and implementation for Genomic Data analysis at the BRC-MH/U. As Lead Data Scientist and Senior Bioinformatician at the Bioinformatics core, he currently collaborates with national and international basic scientists and clinicians in academia and industry, conducting research that complements the overall strategy of the BRC-MH through the integration of rich clinical data from patient records with large variable datasets including transcriptomics, epigenetics, proteomics and neuroimaging. The integration of these disparate sources of data will allow researchers to better describe neurodegenerative and psychiatric disorders and to identify potential biomarkers of diagnosis, prognosis, progression and treatment response.