Jean-François Ethier, M. D., C. M., Ph. D.

Jean-François ÉthierInvestigator
Health: Populations, Organization, Practices Axis
Centre de recherche du CHUS

Assistant Professor
Division of General Internal Medicine
Faculty of Medicine and Health Sciences
Université de Sherbrooke

Contact Information
Phone | 819 346-1110 ext.
E-Mail |



Research Relevance

Advanced methods relying on terminological servers and reference ontologies are now required to integrate the various resources necessary for today’s translational research. More specifically, these methods must support semantic interoperability between various systems, organize and structure biomedical data warehouses and relate heterogeneous data (structurally, geographically and terminologically). They must also support reasoning based on emerging semantic web techniques as well as provide a backbone or efficient and reliable decision support systems. These activities are core to translational research and so are of utmost importance for fundamental research, clinical research and ultimately patient care since those methods support information transfers between the three poles.

By representing concepts from a given domain in a formal and explicit way, ontologies allow a unified representation of heterogeneous data sources and enable semantic reasoning based on these data sources. We took a translational point of view when approaching our research, covering integration of various data types, including medical (patient care data), and research (genomic, proteomic, but also clinical research). Our goal is to structure, facilitate and accelerate efficient and reliable bidirectional information streams to foster innovative discoveries.

Website for projects' code

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Representative Achievements


Selected Publication:

Deputy director for the "Data Platforms and Services" group of the Québec Support Unit, an initiative SPOR of the CIHR in collaboration with the FRQs and the MSSS

Webinaire for the Réseau-1 Québec (only available in French)


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Know-How & Opportunities for Collaboration

  • Biomedical Semantic Interoperability
  • Data Warehouses
  • Ontologies
  • Knowledge Engineering
  • Personalized Medicine


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