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Dehan Kong is an Associate Professor in the Department of Statistical Sciences at the University of Toronto. His research focuses on Biostatistics and Data Science, with interdisciplinary approaches in Theoretical Statistics. He specializes in Neuroimaging Data Analysis, Statistical Machine Learning, High Dimensional Data Analysis, and Functional Data Analysis. Through his academic career, he has contributed significantly to the advancement of statistical methodologies applicable to various fields, including public health and genomics. Dr. Kong's work is characterized by a strong emphasis on methodological development and its practical applications, enabling more effective analysis of complex data. He is involved in teaching and mentoring students in advanced statistical techniques and has a keen interest in fostering the next generation of statistical scientists. In recognition of his contributions, he has received the NSERC Discovery Accelerator Supplement award from the Natural Sciences and Engineering Research Council.
Department of Sociology