Sündüz Keleş is a Turkish-American statistician specializing in statistical methods in genomics. She is a professor of statistics and of biostatistics and medical informatics at the University of Wisconsin–Madison. Her research has included the development of the FreeHi-C system for generating synthetic Hi-C (all-versus-all chromosome conformation capture) data.
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. She completed her Ph.D. there in 2003, 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.
Keleş was elected as a Fellow of the American Statistical Association in 2023.
References
- ^ 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
- Home page
- Sündüz Keleş publications indexed by Google Scholar
  | This article about a Turkish scientist is a stub. You can help Misplaced Pages by expanding it. |