Haiyan Huang

Haiyan Huang is a Chinese-American biostatistician. She works as a professor of statistics at the University of California, Berkeley, where she directs the Center for Computational Biology.[1] She is the coauthor of highly cited work on the human genome, published as part of the ENCODE research consortium,[2] and has also published foundational work on the statistical modeling of experimental reproducibility.[3]

Huang graduated from Peking University in 1997, with a bachelor's degree in mathematics, and earned her Ph.D. at the University of Southern California in 2001.[4] Her dissertation, Bounds for the Errors in Word Count Distributional Approximations, was supervised by Larry Goldstein.[5] After postdoctoral research with Wing Hung Wong and Jun S. Liu at Harvard University,[4] she joined the Berkeley statistics department in 2003.[4][6]

References
  1. "Haiyan Huang", Berkeley Center for Computational Biology, retrieved 2020-08-21
  2. "An integrated encyclopedia of DNA elements in the human genome", Nature, 489 (7414): 57–74, September 2012, doi:10.1038/nature11247
  3. Li, Qunhua; Brown, James B.; Huang, Haiyan; Bickel, Peter J. (September 2011), "Measuring reproducibility of high-throughput experiments", The Annals of Applied Statistics, 5 (3): 1752–1779, doi:10.1214/11-aoas466
  4. Curriculum vitae (PDF), retrieved 2020-08-21
  5. Haiyan Huang at the Mathematics Genealogy Project
  6. Speed, Terry; Pitman, Jim; Rice, John (2012), A Brief History of the Statistics Department of the University of California at Berkeley, arXiv:1201.6450


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