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Laya Rafiee Sevyeri is a machine learning researcher affiliated with McGill University, Canada. She received her Ph.D. in Computer Science from Concordia University, where her research focused on detecting and mitigating distribution shift, including out-of-distribution detection and domain adaptation. Her postdoctoral research focuses on AI in healthcare, with an emphasis on learning from real-world clinical data, rigorous evaluation, and generalization across healthcare settings. Her interests include building robust, trustworthy, and explainable machine learning systems. She serves on the Board of Directors of Women in Machine Learning (WiML) since 2025, served as logistics chair for the WiML event at ICML 2024, and organized the WiML social event at ICLR 2026.