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University of Washington
Paul Allen School of Computer Science and Engineering
Sara Mostafavi completed her PhD in computer sciences from the University of Toronto and her postdoctoral training at Stanford University. Her research is focused on developing and applying machine learning and statistical methods to study the genomics of complex diseases, with a particular interest in psychiatric disorders. She is especially interested in developing models for combining association evidence across multiple types of genomic data, such as gene expression and genotype data, and modeling prior biological pathways and networks for disentangling spurious from meaningful correlations.
Research interests: computational and synthetic biology, machine learning, artificial intelligence, neuropsychiatric disorders, gene-by-environment interactions