Anna Goldenberg
  • Faculty Member, Vector Institute



Anna is a Scientist in the Genetics and Genome Biology Program at SickKids Research Institute and Assistant Professor in the Department of Computer Science at the University of Toronto (Computational Biology Group) with a cross appointment in the department of Statistics. Her main research focus is to develop machine learning methods that can help decipher human disease heterogeneity, which involves combining data from multiple sources. Examples of her recent research include predicting necessity of thyroid biopsy and resection and age of cancer onset in children with cancer predisposition syndrome. Anna trained in machine learning at Carnegie Mellon University, with a postdoctoral focus in computational biology. The Goldenberg Lab collaborates with clinicians to ensure that work is relevant in the clinic. Anna is also a Member of the CIFAR Child and Brain Development group and a Member of the Scientific Management Committee of the Centre for Computational Medicine at SickKids.


  • Department of Computer Science Award for exceptional mentoring and outstanding commitment to graduate student recruitment, University of Toronto
  • Early Researcher Award from the Ministry of Research and Innovation

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