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Keke Song is a Professor in the School of Mathematics and Statistics at the University of Melbourne. His research interests focus on the development of statistical methodologies and their application to various fields, particularly in biostatistics and bioinformatics. He has published extensively in renowned journals, contributing significantly to the understanding of complex statistical models and methods. His work often intersects with areas such as machine learning, statistical genetics, and epidemiology. Keke's innovative approaches enable meaningful insights from high-dimensional biological data, enhancing the capacity for data-driven decision-making in health science. He is recognized for his teaching excellence and mentorship of students in advanced statistical methods.