Julie Hussin, PhD

19 Jul 2024

Address

Research interests

  • IA approaches
  • Cardiofertility multi-omics analyses
  • IA adoption

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

Publications

Sophie Petropoulos, PhD

11 Jul 2018

Contact information

Research interests

  • Investigate how the early ex vivo environment modify the methylome, transcriptome and noncoding RNAs of the first three lineages (TE, EPI and PE); thus potentially programmi the placenta and developing fetus for disease and disorder later in life
  • Unravel fundamental aspects of preimplantation embryo development and RNA biology
  • Investigate the role of noncoding RNAs in the lineage formation and programming of the human embryo at a single-cell resolution

It is now well accepted in the field of Developmental Origins of Health and Disease (DOHaD), that the pre-conceptual, intrauterine, and early life environments can have a profound and lasting impact on the developmental trajectories and longer-term health outcomes of the offspring. Studies in both humans and animals have demonstrated that ‘insults’ such as nutritional imbalances, stress and environmental toxins can negatively impact the offspring and perturb development, ultimately ‘programming’ the offspring for an increased incidence of disease and disorder development later in life.  In particular, increased incidences of diabetes, obesity, hypertension, neurocognitive disorders and attention deficit disorder have been reported. Subfertility affects 1 in 6 couples and the use of Artificial Reproductive Technology (ART) is on the rise globally. During ART, particularly in vitro fertilization (IVF), the embryo is cultured ex vivo; an environment that exposes the embryo to numerous sources of ‘preimplantation stress’ – for instance: altered oxygen levels, altered nutrient levels, exogenous hormones and adjuvants therapies, in an attempt to increase live birth rate. Given the dynamic developmental events that occur during the this window, such ‘insults’ may affect not only the viability of the embryo and ability of the blastocyst to implant, but also the developmental trajectory of the cell lineages ultimately influencing placental development and function (the life source for the fetus in utero) and/or the embryo itself.  Such biological alterations may lead to imprinted disorders; altered metabolic and growth pathways; skewed X-inactivation; altered neurodevelopment and suboptimal downstream lineage development and thus organ development; ultimately impacting the long-term health outcome of the child.  Strong scientific evidence investigating the molecular alterations in the embryo during ART are currently lacking and the safety of adjuvant therapies and additives utilized to increase the success rate of IVF and implantation remain to be meticulously investigated.  Studies in the mouse suggest that the environment such as culture media can have a profound impact on placental development, leading to low birth weight; which in itself is associated with suboptimal developmental outcomes.  Studies in children born from ART suggest an increased incidence of imprinted disorders, hypertension, obesity, and metabolic syndrome.   Merging the fields of DOHaD, Single-Cell Genomics and ART is of critical importance given the potential to unintentionally reprogram future generations with an increased risk for disease and disorder development.

Members of the laboratory

Bouchra Bourdache
BSc student
bouchra.bourdache@umontreal.ca

Eleanore Stohner, BSc
PhD student
eleanore.stohner@umontreal.ca

Katherine Vandal, MSc
PhD student
katherine.vandal.lenghan@umontreal.ca

Savana Biondic, MSc
PhD student
savana.biondic@umontreal.ca

Jesica Canizo, PhD
Postdoc
jesica.romina.canizo@umontreal.ca

Alexandre Brodeur
Lab manager
alexandre.brodeur.chum@ssss.gouv

Cheng Zhao, PhD
Bioinformatician
cheng.zhao@ki.se

Pauline Bazelle
Bioinformatician
pauline.bazelle.chum@ssss.gouv.qc.ca

Publications

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