Sündüz Keleş is a Turkish-American statistician specializing in statistical methods in genomics.[1] She is a professor of statistics and of biostatistics and medical informatics at the University of Wisconsin–Madison.[2] Her research has included the development of the FreeHi-C system for generating synthetic Hi-C (all-versus-all chromosome conformation capture) data.[1]
Keleş studied industrial engineering at Bilkent University, but became interested in statistics after working there on a project involving survival analysis. She then moved to the University of California, Berkeley for graduate study, working with Mark van der Laan on biostatistics.[1] She completed her Ph.D. there in 2003,[3] and took her faculty position at Wisconsin after completing her doctorate, with a delay of a year to do postdoctoral research on microarray analysis techniques with van der Laan and Sandrine Dudoit.[1]
Keleş was elected as a Fellow of the American Statistical Association in 2023.[4]
References
edit- ^ a b c d Marx, Vivien (December 2019), "Sündüz Keleş", The Author File, Nature Methods, 17 (1): 3, doi:10.1038/s41592-019-0696-0, PMID 31836870
- ^ "Sunduz Keles, PhD", Principal investigators, Waisman Center, University of Wisconsin–Madison, July 6, 2017, retrieved 2021-05-03
- ^ Sündüz Keleş at the Mathematics Genealogy Project
- ^ Fellows 2023 (PDF), American Statistical Association, retrieved 2023-06-14
External links
edit- Home page
- Sündüz Keleş publications indexed by Google Scholar
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