Ikrame Housni

Ikrame is a Master's student in Biomedical Engineering at the Université de Montréal. Her current work centres around investigating the relationship between MRI- detected cerebrovascular pathology, cerebrovascular architecture, and age-related dementias. Ikrame's passion for scientific research extends beyond bench work, as scientific communication has been integral to her research involvements. Making science accessible to the general audience is crucial, and she believes that knowledge translation is key to achieving this goal and hopes to contribute to this effort.

Meet our members: Insights and advice from attendees of the 2023 Scientific Day

At the conclusion of this year’s scientific day, attendees gathered for a cocktail reception to network and discuss their research. I was able to interview a few participants, capturing their insights on the event. Additionally, I took this opportunity to inquire about their own experiences and gather valuable advice for aspiring young research students. Read on to get a glimpse of some of the remarks shared during these conversations!

What is Deep Learning, and what can it do for neuroimaging-based diagnoses?

In our everyday lives, we all process and recognize hundreds of different objects (colors, shapes, animals, faces…), and although we may not think about it, developing this ability is actually an intricate learning process. Much like people, machines can be taught object recognition by mimicking the learning process of the human brain. This process, called Deep Learning, is an application of artificial intelligence that, although designed to learn through a specific set of data at first, can continue to learn on its own and improve from experience, without being explicitly programmed to do so. 

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