Education
In Statistics from University College London (1990), and a Doctor of Philosophy in Statistics from the Sapienza University of Rome (1992).
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Paola Sebastiani
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Her most important contribution is a model based on a Bayesian network that integrates more than 60 single-nucleotide polymorphisms (SNPs) and other biomarkers to compute the risk for stroke in patients with sickle cell anemia. This model was shown to have high sensitivity and specificity and demonstrated, for the first time, how an accurate risk prediction model of a complex genetic trait that is modulated by several interacting genes can be built using Bayesian networks. Sebastiani obtained a first degree in Mathematics from the University of Perugia, Italy (1987), an Master of Science
Her research interests include Bayesian modeling of biomedical data, particularly genetic and genomic data.
She came to Boston University in 2003, after previously having been an Assistant Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. A controversial paper regarding the genetics of aging with which she was associated was retracted from the journal Science in 2011 due to flawed data.
The corrected version was published in PLOS ONE, and several of the genes found associated with exceptional human longevity were replicated in other studies of centenarians.
