About
Tanveer Syeda-Mahmood is an IBM Fellow and Adjunct Professor in the Department of Biomedical Data Science at Stanford University. She is one of the world’s foremost pioneers in artificial intelligence, computer vision, multimedia retrieval, medical imaging, and healthcare AI. Over a distinguished four-decade career, she has translated foundational research into technologies that have been commercialized, deployed, and used worldwide, benefiting healthcare, science, industry, and society.
As a senior executive and IBM Fellow at IBM Research, Dr. Syeda-Mahmood served as Chief Scientist of the Medical Sieve Radiology Grand Challenge, a landmark early large-scale initiative in AI-based clinical decision support for radiology. Conducted in collaboration with the Radiological Society of North America (RSNA) and healthcare systems including Kaiser Permanente and Cedars-Sinai, the initiative helped launch and define the field of radiology AI and shaped IBM’s broader healthcare AI strategy. A recognized leader in multimodal clinical decision support, she has spent many years advancing healthcare AI toward real-world impact, including shepherding Watson Health Imaging technologies from research into clinical deployment.
Dr. Syeda-Mahmood is a Fellow of IEEE, AIMBE, MICCAI, and AAIA. She has authored more than 250 refereed publications and holds 266 global patent assets. She has also served as General Chair and Program Chair for leading conferences, including MICCAI (2023) and IEEE CVPR (2008). In 2025, she received the IEEE EMBS Technical Achievement Award for outstanding technical achievement and leadership in multimodal decision support, recognizing her lasting impact on academia and industry in multimodal healthcare AI.
Her current research focuses on building trustworthy multimodal foundation models for medical and enterprise applications.
As a senior executive and IBM Fellow at IBM Research, Dr. Syeda-Mahmood served as Chief Scientist of the Medical Sieve Radiology Grand Challenge, a landmark early large-scale initiative in AI-based clinical decision support for radiology. Conducted in collaboration with the Radiological Society of North America (RSNA) and healthcare systems including Kaiser Permanente and Cedars-Sinai, the initiative helped launch and define the field of radiology AI and shaped IBM’s broader healthcare AI strategy. A recognized leader in multimodal clinical decision support, she has spent many years advancing healthcare AI toward real-world impact, including shepherding Watson Health Imaging technologies from research into clinical deployment.
Dr. Syeda-Mahmood is a Fellow of IEEE, AIMBE, MICCAI, and AAIA. She has authored more than 250 refereed publications and holds 266 global patent assets. She has also served as General Chair and Program Chair for leading conferences, including MICCAI (2023) and IEEE CVPR (2008). In 2025, she received the IEEE EMBS Technical Achievement Award for outstanding technical achievement and leadership in multimodal decision support, recognizing her lasting impact on academia and industry in multimodal healthcare AI.
Her current research focuses on building trustworthy multimodal foundation models for medical and enterprise applications.