Sara did her PhD in Computer Science at the University of Toronto, where she focused her research in the area of machine learning and computational biology. She then did a postdoctoral fellowship at Stanford’s Department of Computer Science, followed by a research fellowship at Harvard Medical School. Sara’s research focuses on developing and using machine learning and statistical methods for combining high dimensional genomics data, in order to reconstruct gene regulatory networks, and to identify genes and pathways underlying a variety of complex neuropsychiatric disorders.