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states, tissue organization, and biological programs, and connect these representations to mechanisms of human disease. Your work will sit at the intersection of machine learning, computational biology
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identify the cells, cellular states, and biological programs through which genetic variation influences disease. Your work will sit at the intersection of statistical genetics, machine learning, and
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transform bold scientific ideas into advances that improve human health. Within this mission, the Health Data Science Centre develops advanced computational and machine learning approaches to analyse complex
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, the Giustacchini group aim to develop stem-cell-based models of paediatric leukaemia to understand how malignant haematopoiesis interacts with the immune system and to improve responses to CAR T-cell therapy. We
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, epidemiological, computational, machine-learning, and AI-based approaches to address biological and clinical research questions. Translate complex research questions into robust and reproducible analytical
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computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating to the Zuccolo Group research