Saeed Seyyedi, PhD

Saeed Seyyedi, PhD

Dr. Saeed Seyyedi holds a PhD in Computer Science from Technical University of Munich where he was a recipient of an E.U. Marie Curie research fellowship supporting his research and studies in medical imaging and informatics. He completed a postdoc in AI in medicine at Stanford University where he developed applications of machine learning and computer vision to detect and characterize cancer using medical images and other types of records. Before joining this program, he has worked and collaborated with a variety of interdisciplinary research and development groups including AstraZeneca, BC Cancer Research Center, GE GRC and Johns Hopkins University. Dr. Seyyedi is passionate about building large-scale AI solutions in healthcare, image analysis, and advanced machine learning techniques.

• Primary area of quantitative expertise: Machine/Deep Learning
• Applied domain: Medical
• Data domain: Imaging