Sara Mostafavi

Sara Mostafavi

Sara Mostafavi

Research focus

machine learning, computational biology, systems biology, human disease genomics

Education

Ph.D. Computer Science, University of Toronto, 2011
M.S. Computing Sciences, Queen’s University, 2006
B.S.c. Computer Science and Life Sciences, University of Toronto, 2004

Sara Mostafavi joins the Allen School from the University of British Columbia (UBC), where she was an assistant professor in the departments of statistics and medical genetics, and a faculty member at the Vector Institute for Artificial Intelligence. Prior to UBC, Sara was a visiting fellow at Harvard Medical School, and did her postdoctoral fellowship at Stanford's computer science department.

Sara works at the intersection of computational biology and machine learning, where she develops and applies methods to study the molecular basis of human disease. Most recently, her research has focused on understanding the genomics of immune responses across different contexts, and causes of rare genetic diseases in children.

She serves on the organizing committee of Machine Learning in Computational Biology (MLCB) Conference, and has been named a fellow of the Canadian Institute for Advanced Research. She held a Canada Research Chair in Computational Biology (2015-2020), and was a recipient of a CIFAR Artificial Intelligence Chair.