Welcome – Bienvenue

We are a computational biology research group lead by Dr. Julie Hussin at the Montreal Heart Institute, Faculty of Medicine, Université de Montréal, Canada. We are an associate member at Mila, the Québec Artificial Intelligence Institute.

Notre groupe de recherche de bioinformatique se situe à l’Institut de Cardiologie de Montréal, Faculté de Médecine, Université de Montréal, Canada. Nous sommes membres associés à Mila, l’Institut Québecois en Intelligence Artificielle.

We work on integrating genomics, evolutionary biology, medicine, and data science to unravel the complex mechanisms of cardiovascular health and disease. Through advanced computational methods, we investigate the molecular underpinnings of diseases and the evolutionary forces shaping them. See our Projects page for more details.

Click here if you are interested in joining the group.

We wish to acknowledge that we are on the traditional and unceded territory of the Kanien’keha:ka (Mohawk) nation.

Nous travaillons à l’intersection de la génomique, de la biologie évolutive, de la médecine et des sciences des données pour explorer les mécanismes complexes de la santé et des maladies cardiovasculaires. À travers des méthodes computationnelles avancées, nous étudions les fondements moléculaires des maladies et les forces évolutives qui les façonnent. Consultez nos Projets de Recherche pour en savoir plus.

Cliquez ici si vous êtes intéressés à vous joindre à nous.

Nous reconnaissons que nous sommes situés sur le territoire, jamais été cédé par voie de traité, de la nation Kanien’kehá:ka (Mohawk).

Featured image created by Martin Krzywinski from mkweb.bcgsc.ca

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Research Projects

Our mission

Our research program aims to leverage advancements in ‘omics’ technologies and artificial intelligence (AI) to deepen our understanding of biological systems, their evolution and promote inclusivity in biomedical research. Focusing on the integration of molecular datasets with advanced analytical tools, we target three main research axes: (1) developing equitable AI algorithms to mitigate biases, especially in cardiovascular research; (2) exploring the evolution of emerging pathogens for pandemic preparedness; and (3) investigating the evolution of key gene families for biotechnological innovations. By prioritizing inclusivity and fairness in our computational approaches, we aim to ensure our findings support sustainable and equitable solutions across the diverse global population.

Click on the images to see specific projects: