Team
Tony Leroux
Ensures the governance and operation of the Consortium, with an emphasis on collaborations and impacts in the Université de Montréal health ecosystem. Proactive in collaborative initiatives in research, training and digital transformation in health systems. Represents the Consortium with government authorities and provincial, national and international partners.
Aude Motulsky
Actively contributes to the Consortium's activities, particularly by supporting digital health training and promoting the deployment of responsible digital health. Involved in the development of strategic positions on critical issues related to digital transformation in health, as well as the mobilization of knowledge for the entire Consortium Ecosystem.
Flamine Alary
Responsible for budget planning and management, personnel management and professional development, and maintaining and establishing partnerships. Represents the Consortium before provincial, national, and international organizations and collaborates with University departments.
Éva Lacroix
Develops partnerships and supports international collaboration projects. Implements communication strategies to contribute to the promotion of digital health training and research. Coordinates scientific events and organizes networking activities (symposia, workshops, conferences). Manages social media, the newsletter, and the website to strengthen the Consortium's visibility and impact.
Khadidiatou Dioukhané
khadidiatou.dioukhane@umontreal.ca
Provides financial management and daily administrative support. Assists management in planning and organizing meetings of the Board of Directors and the Consortium Assembly.
Pascale Béliveau
Actively supports the management and structuring of research data with expertise in leveraging digital solutions, such as artificial intelligence. Involved in large-scale multicenter projects and dynamic digital health communities.
Khedidja Seridi
Participates in the analysis, planning and implementation of clinical databases/lakes (ETL, de-identification, structuring, etc.), as well as in the processing (data wrangling) and descriptive and predictive analysis of data for health research projects.