معرفی
Dr. Laleh Seyyed-Kalantari is an Assistant Professor at York University's Lassonde School of Engineering, specializing in Responsible AI and Medical Imaging. She is also a Vector Institute faculty affiliate and has conducted postdoctoral research at the Vector Institute and the University of Toronto as an NSERC fellow (2019-2022). Her academic journey includes a Ph.D. in Electrical Engineering from McMaster University (2017) and prestigious scholarships such as the Research in Motion Ontario Graduate Scholarship (2015) and Queen Elizabeth II Graduate Scholarship (2014-2015).
Research Interests: Dr. Seyyed-Kalantari focuses on responsible AI, generative AI, and AI fairness, particularly in medical imaging. Her work explores the ethical implications of AI systems, including underdiagnosis bias amplification and race detection in medical images. She has pioneered research on fairness in disease diagnosis and foundation models in medical imaging.
Scientific Awards:
- Google Research Scholar Program award (2024)
- Banting Postdoctoral Fellowship to join MIT (2022-2024, declined)
- NSERC Postdoctoral Fellowship (2018-2020)
- Finalist, CIFAR AICan 3-M Impact Competition (2021)
- Winner, Toronto Health Data Hackathon (2019)
- Nominee, L’Oréal-UNESCO for Women in Science (2018)
- Ontario Graduate Scholarships (2013-2015, 2014-2015)
- Research in Motion Ontario Graduate Scholarship (2015)
Policy & Advocacy: She contributes to the AI Insights for Policymakers Program by CIFAR and Mila, and her work has been highlighted in global tech news outlets like Nature Medicine, The Lancet Digital Health, and MIT News.
