Matthew Stephens (statistician)
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.
| Matthew Stephens | |
|---|---|
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| Alma mater | |
| Scientific 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 |
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]
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.
