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Yan Yan is an Assistant Professor at the University of Guelph in the College of Computational, Mathematical and Physical Sciences. His research primarily focuses on bioinformatics and employs computational models based on artificial intelligence, machine learning, and statistics to analyze multi-omics data. Through his lab, he aims to generate novel insights into the biological processes underlying cell states and the development of diseases. His recent work includes statistical association and deep learning techniques applied to genome-wide population data and single-cell RNA sequencing, as well as de novo peptide sequencing. Furthermore, he has a keen interest in plant genomes and the application of AI in digital agriculture, fostering a broader exploration of data analytics using advanced machine learning methodologies. He is actively contributing to the field with several selected publications that present innovative solutions for feature selection and data analysis in biological contexts.
University of Guelph • Guelph, ON, Canada
Teaching and conducting research in the field of computer science, specifically focused on bioinformatics and computational modeling.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).