Sally Thurston
Sarah (Sally) Newcomb Whitney Thurston is an American biostatistician and environmental statistician whose research involves the application of Bayesian hierarchical modeling to problems in environmental health, including work on endocrine disruptors, the effects of mercury in fish on prenatal development, and the health effects of air pollution. She is a professor of biostatistics and a professor of environmental science in the Department of Biostatistics and Computational Biology at the University of Rochester Medical Center.[1]
Education and career[edit]
Thurston majored in biology at Oberlin College, graduating in 1978. After earning a master's degree in natural resources from Cornell University in 1991, she went to Harvard University for doctoral study in statistics. She earned a second master's degree in 1992 before completing her Ph.D. in 1997.[2] Her doctoral dissertation, Error Analysis of Food Stamp Microsimulation Models, was jointly advised by Alan M. Zaslavsky and Donald Rubin.[3]
She stayed at Harvard as a postdoctoral research fellow (1997–2000) and research associate (2000–2002) before moving to her present position at the University of Rochester in 2002. She added a second affiliation in oncology in 2005, and was tenured in 2008.[2]
Personal life[edit]
Thurston is the daughter of mathematician Hassler Whitney.[4][5]
Recognition[edit]
Thurston became an Elected Member of the International Statistical Institute in 2006.[2] She is a Fellow of the American Statistical Association, elected in 2019.[6]
References[edit]
- ^ "Sally W. Thurston, PhD", Faculty, URMC Department of Biostatistics and Computational Biology, retrieved 2024-02-10
- ^ Jump up to: a b c Short CV (PDF), Math Alliance, October 17, 2014, retrieved 2024-02-10
- ^ Sally Thurston at the Mathematics Genealogy Project
- ^ "Hassler Whitney, 82, innovator in geometry", Chicago Tribune, May 13, 1989, retrieved 2024-02-10
- ^ Kendig, Keith (2018), Never a Dull Moment: Hassler Whitney, Mathematics Pioneer (PDF), Spectrum, vol. 93, MAA Press, p. xii, ISBN 978-1-4704-4828-8
- ^ 2019 ASA Fellow announcement (PDF), American Statistical Association, retrieved 2024-02-10
