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]
Education and career
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]
Recognition
She was named to the 2022 class of Fellows of the
References
- ^ "Haiyan Huang", Berkeley Center for Computational Biology, retrieved 2020-08-21
- PMID 22955616
- ^ a b c Curriculum vitae (PDF), retrieved 2020-08-21
- ^ Haiyan Huang at the Mathematics Genealogy Project
- arXiv:1201.6450
- ^ 2022 IMS Fellows Announced, Institute of Mathematical Statistics, April 22, 2022, retrieved 2022-05-08
- ^ ASA 2022 Fellows (PDF), American Statistical Association, retrieved 2022-07-20
External links
- Home page
- Huang group
- Haiyan Huang publications indexed by Google Scholar
