Haiyan Huang
From Wikipedia, the free encyclopedia
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]
