Matthew Stephens (statistician)
Matthew Stephens | |
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Alma mater | |
Academic career | |
Institutions | |
Thesis | Bayesian Methods for Mixtures of Normal Distributions |
Doctoral advisor | Brian D. Ripley |
Academic advisor | Peter Donnelly |
Doctoral students | Lei Sun, Na Li, Paul Scheet, Xiaoquan Wen |
Notable students | John Novembre |
Matthew Stephens (born 1970) is a Bayesian statistician and professor in the departments of Human Genetics and Statistics at the University of Chicago. He is known for the Li and Stephens model as an efficient coalescent.
Education[]
Stephens has a PhD from Magdalen College, Oxford University where his advisor was Brian D. Ripley.[1] He then went on to work with Peter Donnelly as a postdoctoral researcher.
Career[]
Stephens conducted postdoctoral research with Peter Donnelly at the University of Oxford. It was there that he developed STRUCTURE along with Jonathan Pritchard, a widely used computer program for determining population structure and estimating individual admixture.[2] He then went on to develop the influential Li and Stephens model as an efficient model for linkage disequilibrium.[3]
Awards[]
Stephens was awarded the Guy Medal (Bronze) in 2006.[4]
Notes[]
- ^ Stephens, Matthew. "Stephens Lab". stephenslab.uchicago.edu. Retrieved 2017-12-10.
- ^ Novembre, John (2016-10-01). "Pritchard, Stephens, and Donnelly on Population Structure". Genetics. 204 (2): 391–393. doi:10.1534/genetics.116.195164. ISSN 0016-6731. PMC 5068833. PMID 27729489.
- ^ Song, Yun S. (2016-07-01). "Na Li and Matthew Stephens on Modeling Linkage Disequilibrium". Genetics. 203 (3): 1005–1006. doi:10.1534/genetics.116.191817. ISSN 0016-6731. PMC 4937133. PMID 27384022.
- ^ "The Royal Statistical Society - Guy Medal in Bronze". www.rss.org.uk. Archived from the original on 2012-03-17. Retrieved 2010-12-02.
- 1970 births
- British statisticians
- Population geneticists
- Statistical geneticists
- Living people
- 20th-century British mathematicians
- 21st-century British mathematicians
- Genetic epidemiologists
- Statistician stubs