Summary
Yasmin Salehi is a software engineer and PhD student at McGill University with nine years of experience at the intersection of machine learning and engineering. Her research focuses on graph representation learning, physics-informed ML, and healthcare applications, bridging rigorous academic methods with practical, domain-specific problems. She holds an MEng in Electrical and Computer Engineering from McGill and brings research discipline to production-minded engineering. Based in Montreal, she combines theoretical depth with applied experimentation, often translating complex models into testable solutions for clinical and physical systems. An under-the-radar strength is her ability to navigate both research publication standards and collaborative software development workflows, making her effective in multidisciplinary teams.
9 years of coding experience