Dr. Jüri Reimand
Dr. Jüri Reimand
Dr. Jüri Reimand
Investigator II


Investigator II

Current cancer research routinely generates large-scale datasets, however understanding the data remains a great challenge. Dr. Reimand’s lab develops and applies computational and machine learning methods to analyze molecular pan-cancer datasets and interpret these in the context of biology and patient information. The major areas of research include driver and passenger mutations of the cancer genome, multi-omics data integration using biological pathways and molecular interaction networks, and discovery of innovative molecular biomarkers.

Experience & Education
  • Investigator I, OICR
  • Postdoctoral Fellow, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto
  • Marie Curie Pre-doctoral Research Fellow, EMBL, European Bioinformatics Institute
  • PhD, Computer Science, University of Tartu, Estonia
  • M.Sc., Computer Science, University of Tartu, Estonia
  • Postdoctoral fellow, Donnelly centre, University of Toronto
  • PhD, computer science, University of Tartu
Current Affiliations
  • Investigator II, OICR
  • Assistant Professor, Department of Medical Biophysics, University of Toronto
Select Publications

See Dr. Reimand’s recent publications on PubMed or on Google Scholar.

Disease Areas
Tools & Software
  • g:Profiler -a web server for functional interpretation of gene lists
  • ActiveDriver – a computational method for identifying ‘active’ sites in proteins
In the News
Unravelling the secrets of the non-coding cancer genome
Unravelling the secrets of the non-coding cancer genome
Jun 11, 2021