Dr. Juri Reimand

  • PI (Computational Biology)


  • juri.reimand at

Current cancer research routinely generates large-scale datasets, however understanding the data remains a great challenge. Dr. Reimand’s lab develops and applies methods to interpret cancer data using pathway and network information. Pathways and networks represent knowledge from earlier research that helps to highlight aspects of data that tell us about underlying biology. With this in mind, Reimand and his team aim to explain -omics data, discover cancer driver genes and predictive biomarkers, interpret the function of genome mutations and discover master gene regulators of cellular processes.

Current Affiliations
  • Principal Investigator, Computational Biology, OICR
  • Investigator I, OICR
  • Assistant Professor, Department of Medical Biophysics, University of Toronto