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Corinna Elsenbroich is a Reader in Computational Modelling specializing in social health inequalities. Her expertise lies in complexity methods, focusing on making these methods relevant for policy analysis and decision making. Elsenbroich's background in computational modelling is exemplified through projects like embedding microsimulation into economic determinants of health policy processes and exploring health inequalities across the life course. She has developed agent-based models for the UK housing market and has broadened her methods expertise to include various complexity methods for evaluation purposes. Notable applied projects include SIPHER, OPTIMA, and CECAN, where she led evaluations of community health outcomes and investigated the integration of complexity methods into fundamental health research. Additionally, she has contributed to various policy collaborations with entities such as Public Health Scotland and the Scottish Government. Elsenbroich also actively participates in teaching and supervision, having co-authored a textbook on agent-based modelling. Her work has been recognized through fellowships and editorial roles in relevant academic journals.
University of Glasgow • Glasgow, Scotland
Teaching and research in computational modelling with a focus on social health inequalities.