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Professor Jean Yang is an applied statistician with expertise in statistical bioinformatics. In 2015, she was awarded the Moran Medal by the Australian Academy of Science in recognition of her work in developing methods for molecular data derived from cutting-edge biomedical research. Her research interfaces medicine and methodology development, focusing on developing methods and applications to address statistical problems in -omics biomedical research. Professor Yang has made significant contributions in the development of novel statistical methodologies and software for the analysis of high-throughput biotechnological data, including microarrays, mass spectrometry, and next-generation sequencing. Her work emphasizes the integration of multiple biotechnologies and clinical data to answer a variety of scientific questions. This includes developing approaches and methodologies for statistical machine learning and network analysis. As a statistician in the bioinformatics field, she enjoys a collaborative research environment and works closely with scientific investigators from diverse backgrounds. Professor Yang's research aligns with the Faculty of Science Research Strengths in Complex Systems, Precision Digital Health, Data Decisions, and National Security.
University of Sydney • Sydney, NSW
Teaching and research in applied statistics and bioinformatics.
This entry applies to Faculty of Science PhD programs including Departments such as Life and Environmental Sciences, Physics, Chemistry, and Mathematics and Statistics.