Sara Mostafavi
  • Assistant Professor, Department of Statistics and the Department of Medical Genetics, University of British Columbia (UBC)

    Affiliate Member, Department of Computer Science, University of British Columbia (UBC)

    Faculty Member, Vector Institute

    Canada CIFAR Artificial Intelligence Chair

    Website | Google Scholar

Research Interests

  • Machine Learning
  • Statistical Methods
  • Computational Biology


Sara Mostafavi is an Assistant Professor at the Department of Statistics and the Department of Medical Genetics, and an affiliate member of the Department of Computer Science, at the University of British Columbia (UBC). She received her PhD in Computer Science from the University of Toronto in 2011, working with Quaid Morris, already a Vector Faculty Member, and completed her postdoctoral fellowship at Stanford University.

Sara’s research interests include developing and applying machine learning and statistical methods to study the genomics of complex diseases, particularly psychiatric disorders. Her research group is specifically 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.


  • Canada Research Chair (Tier II) in Computational Biology
  • CIFAR fellow in Child and Brain Development Program
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