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for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics, spatial biology and AI/ML
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the Faculty of Life Sciences & Medicine Hub for Applied Bioinformatics. This post is jointly funded by the Borne Foundation (50%) and King’s Health Partner’s Centre for Translational Medicine (CTM) (50
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Associate to work on our MRC funded grant: Computer Assisted Screening of Cortical Abnormalities in Development (CASCADE) – the objective of which is to develop a suite of AI tools for automating
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research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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leads a research group of bioinformaticians with expertise in multi-omics data integration and translational bioinformatics. She is Head of the Hub for Applied Bioinformatics (HAB), which provides
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Sciences (BMEIS) in the Faculty of Life Sciences and Medicine, and Guy's & St Thomas' National Health Service (NHS) Foundation Trust. We run a clinical PET service in parallel with an extensive programme of
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physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science into advances in clinical practice. Our community of world
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, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre for Translational Informatics (www.ctiuk.org) and actionable