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Hong Gu is a Professor in the Department of Mathematics and Statistics at Dalhousie University, specializing in statistical genetics, bioinformatics, molecular evolution, and data mining. He has a strong focus on computational biology and the development of statistical modeling methods and inference methodologies, particularly in the context of medical data analysis. His research includes meta-genomics, model selection, and outlier detection, making significant contributions to the field through various publications. Gu's academic journey began with a Bachelor of Science from Peking Normal University, followed by a Master's degree from Peking University, and a PhD from the University of Hong Kong. Through his teaching and research, he strives to advance the understanding of complex biological data and its applications to health and medicine.