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Matthew Sperrin is a Professor of Biostatistics at the University of Manchester, specializing in Health Data Science. His work focuses on developing statistical models to address clinical prediction problems, particularly in cases where standard methods are insufficient. He has extensive experience in teaching and has served as the Programme Director for the MSc in Health Data Science. Matthew's research interests include causal inference in predictive modeling and improving the generalizability and transportability of models applied to healthcare systems. His approach to research is problem-first, directly addressing clinical questions and working with electronic health record data to derive actionable insights. He has also spearheaded various projects aimed at enhancing prediction models for situations like cardiovascular disease prevention. As a member of the Royal Statistical Society, he emphasizes the importance of methodology in Statistics and Epidemiology, aligning his work with the UN Sustainable Development Goals.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.