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Yan Yan is an Assistant Professor at the University of Guelph, specializing in bioinformatics. His research mainly focuses on multi-omics analysis, aiming to provide novel insights into the mechanisms of biological processes and cell states in disease development. Yan develops computational models based on artificial intelligence and machine learning, utilizing statistical methods to analyze vast sets of biological data. Recent projects include employing deep learning techniques for statistical associations in genome-wide population data and single-cell RNA sequencing. He has a particular interest in plant genomes and the application of AI in digital agriculture, striving to enhance data analytics using advanced machine learning approaches. His diverse research portfolio includes significant publications in the fields of genomics, computational biology, and bioinformatics, highlighting his contributions to understanding the complexities of biological data.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).