Jean Yang

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Jean Yee Hwa Yang is an Australian statistician known for her work on variance reduction for microarrays,[1] and for inferring proteins from mass spectrometry data.[2] Yang is a professor in the School of Mathematics and Statistics at the University of Sydney.[3]

Yang earned a bachelor's degree with first class honours and medal from the University of Sydney in 1996, in mathematics and statistics. After working for half a year at the Commonwealth Scientific and Industrial Research Organisation,[4] Yang then went to the University of California, Berkeley for graduate study, completing her Ph.D. in statistics in 2002. Her dissertation, Statistical methods in the design and analysis of gene expression data from cDNA microarray experiment, was supervised by Terry Speed.[4][5]

Yang did postdoctoral research in biostatistics and bioinformatics with Mark R. Segal at the University of California, San Francisco, where she became an assistant professor in 2003. In 2005 she returned to the University of Sydney with a faculty position.[4]

In 2017, Yang was the winner of the Moran Medal of the Australian Academy of Science for her "significant contributions to the development of statistical methodology for analyzing molecular data arising in contemporary biomedical research".[1]


  1. ^ a b "2015 Moran Medal for research in statistics", 2015 awardees, Australian Academy of Science, retrieved 2018-02-27
  2. ^ Mathematicians solving today's problems of systems biology, Garvan Institute of Medical Research, 21 March 2012
  3. ^ Professor Jean Yang, School of Mathematics and Statistics, University of Sydney, retrieved 2018-02-27
  4. ^ a b c Curriculum vitae (PDF), 2013, retrieved 2018-02-27
  5. ^ Jean Yang at the Mathematics Genealogy Project

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