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Benoit Liquet-Weiland is a Professor at Macquarie University, specializing in statistical modeling, particularly in the context of health and biomedical applications. His research interests encompass model selection and variable selection, multi-state models, survival analysis, and machine learning. Liquet-Weiland has an extensive publication record, contributing significantly to the statistical methodology applicable to high-dimensional datasets, with a focus on “omics” data. His work includes developing Bayesian models and employing statistical techniques for analyzing complex datasets across various domains, including genomics and ecology. He has been actively involved in supervising PhD students and mentoring research topics in statistics, particularly those applications related to COVID-19 and cancer research. Furthermore, Liquet-Weiland has collaborated on several significant research projects aimed at enhancing disease-gene discovery and developing predictive models for health applications. He has pioneered new methodologies to tackle the challenges presented by the vast complexities of modern data. His commitment to advancing statistical science is further reflected in his educational involvement and provision of workshops and courses.
Applied to Department of Business (MBA Program).