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Aude is an assistant professor in the Department of Health Management, Evaluation and Policy at the University of Montreal School of Public Health, deputy director of Digital Health Consortium at the University of Montreal, as well as a researcher at the Department of Innovation and Health Evaluation at the CHUM Research Centre. Her research activities focus mainly on the evaluation of interoperable digital clinical records and their impacts on health system management. aude.motulsky@umontreal.ca

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Jean-Noël is an assistant professor in the Department of Health Management, Evaluation and Policy at the University of Montreal School of Public Health. He is a specialist in biomedical terminologies and ontologies. His research focuses on quality assurance and interoperability of knowledge organisation systems and their application in natural language processing, knowledge discovery, and information integration. Jean-Noël has a MD from the Nazi Boni University (Burkina Faso) and a Ph.D. in health informatics from the Université de Bordeaux (France).
jean.nikiema@umontreal.ca

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With a nursing background and ten years of experience in post-secondary teaching, Janine is currently pursuing a doctorate in public health in order to develop and strengthen her research skills in both public health and in the analysis of health systems and policies.Her research focuses on e-health in Quebec. She aims to explore the perceptions of various actors in the healthcare system on the use of information technologies and connected technologies in their practices and to explore the impact this may have on personalized care and patient relations. Janine is also interested in the political and legal frameworks surrounding the implementation of these technologies and the training issues that they create. Finally, her research interests also focus on the role of patient advisors and their place in healthcare governance.
janine.badr@umontreal.ca

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Yan has a bachelor’s degree in physics and a master’s degree in medical physics from UdeM. He then started a master’s degree in health services administration and made an accelerated transition to a PhD in public health, under the supervision of professors Jean-Louis Denis and Aude Motulsky. His thesis focuses on the digital transformation of academic health centers. In addition to his studies, Yan has been involved in several volunteer activities. In particular, he is a member of the Comité intersectoriel étudiant (CIE) of the Fonds de recherche du Québec (FRQ), an administrator of the Forum de la relève étudiante pour la santé au Québec (FRESQue), he sits on the Comité sur l’éthique et l’intégrité scientifique of the FRQ – Santé, and he has been an assistant representative of the Department of Management, Evaluation and Health Policy at the UdeM School of Public Health since fall 2017.
yan.bertrand@umontreal.ca

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Louise is a doctoral student in bioethics at the University of Montreal School of Public Health (ESPUM). Louise holds a specialized graduate degree in bioethics from the ESPUM and a master’s degree in microbiology from the University of Montreal. Louise worked as a bacteriologist in public health for 17 years. Subsequently, she worked with the Quebec Access to Information Commission (CAI), as an analyst and resource person for researchers in Quebec who wish to receive personal data for research purposes. As part of her doctoral studies, Louise became interested in data ethics in Quebec. Her research project aims to develop a logical model, both conceptual and organizational, promoting responsible and transparent access to personal health information by Quebec researchers while preserving the autonomy and protection of citizens’ privacy. This project is carried out under the supervision of Béatrice Godard, researcher in the Department of social and preventive medicine of the ESPUM, Aude Motulsky, researcher in the Department of management, evaluation and health policies of the ESPUM and Jean-Christophe Bélisle-Pipon, post-doctoral fellow at Harvard Law School and guest researcher at ESPUM.
louise.ringuette@umontreal.ca

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Priscille is a doctoral student in public health at the University of Montreal School of Public Health (ESPUM). She has a master’s degree in epidemiology from Laval University and has since been working in public health as a population data analyst. She has worked mainly in public health policy evaluation on the themes of cancer, substance use and mental health. Her research interests include the integration of digital health for the improvement of health information systems in developing countries.
priscille.pana@umontreal.ca

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Davllyn is a postdoctoral fellow at the CRCHUM. His research focuses on Responsible Digital Integration in Primary Care. He has a PhD and a Master’s degree in Public Health (Brazil), with a PhD internship at the ESPUM. Since 2011, he has been working as a researcher on the theme of primary health care management. As a technical consultant, he has been collaborating with OPAS/WHO since 2015 supporting the Ministry of Health and public managers in the evaluation of health policies and programs to improve the Brazilian health system. Interested in the field of Artificial Intelligence and Machine Learning for the Health sector, he develops Business Intelligence dashboards to support the decision process of health managers.
davllyn.anjos@umontreal.ca

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Azadeh is a master’s student in Clinical Science, specializing in computational medicine at the Faculty of Medicine, University of Montreal. She is currently working under the supervision of Dr. Nikiema. Her background is in computer engineering and medical informatics, she is very interested in conducting interdisciplinary research in the fields of health and data science. Her research interests lie in the applications of artificial intelligence (AI) methodologies to address healthcare challenges. Specifically, her research focuses on automating the fact checking process of online health information using AI, and also undertaking projects related to machine learning applications in health sciences.

azadeh.bayani@umontreal.ca

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James is a student at Marianopolis College studying pure and applied sciences. He is passionate about programming, deep learning, and artificial intelligence. He is involved in the OCRx project as a technical assistant. Previously, he worked as a data science intern at Boehringer Ingelheim.
james.liang@umontreal.ca

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Alexandre has been a research professional at ESPUM since 2022. He holds a bachelor’s degree in mathematics and a master’s degree in computer science. Specialized in artificial intelligence and more specifically in imaging, most of his projects are applied to the healthcare field. He is working with Jean Noël Nikiema on a natural language processing project applied to healthcare.

alexandre.Ayotte2@usherbrooke.ca

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Luciano graduated as a medical doctor from University of Brasilia (Brazil). For years, he practiced and implemented disease prevention and early detection programs in disadvantaged communities in Brazil. Under the direction of Professor Aude Motulsky and Professor Delphine Bosson-Rieutort, he is conducting a master’s project on the positive impacts of teleconsultation in the practice of front-line multidisciplinary teams. He is interested in the adaptation of technological innovations in health and the acceleration of the application of technology projects in the Quebec health network.

luciano.otero@umontreal.ca

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Daouda Coulibaly is a doctoral student in bioinformatics at the Université de Montréal. He holds a bachelor’s degree in computer engineering technology from Université Aube Nouvelle and a master’s degree in data science from Université NAZI BONI in Burkina Faso. As part of his end-of-master’s degree project, he worked on a system for detecting fraudulent transactions using machine learning. As part of his PhD, he is working under the supervision of Jean Noël Nikiema, assistant professor in the Department of Health Management, Evaluation and Policy at the Université de Montréal’s School of Public Health and a specialist in biomedical terminologies and ontologies. His research focuses on the automated integration of health data via biomedical ontologies for the deployment of machine learning algorithms.

daouda.coulibaly.1@umontreal.ca