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Xin Gao is a Full Professor in the Department of Mathematics and Statistics at York University. His research interests lie broadly in statistical genetics, bioinformatics, biostatistics, nonparametrics, and large sample theory. Gao is particularly focused on developing statistical methodologies for biological data analysis, which includes genetic mapping, microarray data analysis, proteomic data analysis, and construction of gene regulatory networks. His current research topics encompass nonparametric methods, model selection, graphical models, composite likelihood inference, and network analysis fusion learning, reflecting an innovative approach to intricate problems in statistical analysis of biological data. Over his career, he has been awarded multiple Discovery Grants from the Natural Sciences and Engineering Research Council of Canada, signaling the significance and impact of his research contributions in the field of statistics. Gao's work not only advances theoretical aspects of statistics but also applies these theories to real-world biological complexities, fostering a deeper understanding of genetic connections through rigorous statistical methods.
Department of Mathematics and Statistics, York University • Toronto, Ontario, Canada
Teaching and conducting research in statistical genetics and bioinformatics.
Department of Liberal Arts & Professional Studies graduate programs generally follow the Faculty of Graduate Studies (FGS) B+ minimum requirement.