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.

Research Areas
Biology Informatics and Data Standards
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