Dr. Jüri Reimand

Investigator I

Juri ReimandCurrent 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

  • Investigator I, OICR
  • Assistant Professor, Department of Medical Biophysics, University of Toronto

Research interests

  • Bioinformatics
  • Pathways and networks
  • Cancer drivers
  • Data integration

Select publications

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

Tools and software

  • g:Profiler -a web server for functional interpretation of gene lists
  • ActiveDriver – a computational method for identifying ‘active’ sites in proteins

Previous experience and education

  • 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

Opportunities to collaborate

  • Pathway and network analysis
  • Cancer driver discovery
  • Mutation analysis

Visit OICR’s Collaborative Research Resources directory for more opportunities to collaborate with OICR researchers.

Related links

University of Toronto Faculty Page – Dr. Jüri Reimand

The Reimand Lab

Follow Dr. Reimand on Twitter


Dr. Juri Reimand