Julie Hussin, PhD
Address
- 514 376-3330, ext. 2028
- julie.hussin@umontreal.ca
- https://mhi-omics.org/
- Université de Montréal
Faculté de Médecine
Mila, Quebec AI Institute
Montreal Heart Institute
5000 rue Bélanger, Room S-2095
Montréal (QC)
Canada H1T 1C8
Research interests
My research focuses on the intersection of artificial intelligence (AI), human population genetics and multiomics data analysis, with a strong commitment to advancing the implementation of AI methodologies through equitable research practices.
I hope to address key challenges in reproductive health through innovative computational strategies that respect and promote diversity. In developing AI models that are not only predictive but also interpretable and fair, we ensure that they serve all segments of the population effectively. This involves creating algorithms that can adapt to the complex variability of biological data, while being sensitive to the ethical dimensions of AI, such as privacy, data security, and bias mitigation. My approach includes understanding of human genetic diversity, rigorous validation of AI tools within diverse demographic contexts and ensuring that these models perform equitably across different population groups, reporting model facts on fairness with transparency if they do not.
Another key aspect of my work is the establishment and use of databases that serve as valuable resources for the research community, focusing on diversity and inclusivity. These data repositories not only facilitate comprehensive multiomics analyses but also enable researchers to explore the interplay between genetic, environmental, and lifestyle factors in reproductive health. By integrating AI tools into these platforms, we can accelerate the discovery of novel biomarkers and therapeutic targets, ultimately leading to more personalized and effective interventions in reproductive medicine.
Through this network, I help to drive the deployement and adoption of AI in reproductive studies, ensuring that the benefits of these technological advancements are accessible to more researchers and ultimately, all patients.
Members of the laboratory
Alexis Nolin-Lapalme
MD-PhD student
alexis.nolin-lapalme@umontreal.ca
Moustapha Gassama
PhD student
moustapha.gassama@umontreal.ca
Camille Rochefort-Boulanger
PhD student
camille.rochefort-boulanger@umontreal.ca
Pamela Mehanna
Bioinformatician
pamela.mahanna@gmail.com
Raphael Poujol
Bioinformatician
raphael.poujol@gmail.com
Jean-Christophe Grenier
Bioinformatician, laboratory responsible
jean-christophe.grenier@gmail.com