Saeed Seyyedi joined BIDS and BCHSI/UCSF in 2020 as part of the second cohort of Data Science Health Innovation Fellows in the Innovate For Health initiative. He earned a PhD in computer science from Technical University of Munich where he was a recipient of an E.U. Marie Curie research fellowship. He completed a postdoc in artificial intelligence and imaging at Stanford University where he developed several applications of machine learning and computer vision to detect and characterize cancer using 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. He is passionate about building large-scale, multi-modality and advanced machine learning techniques to solve some of the real-world problems.
Real name:
Saeed SeyyediMay 4, 2021 / 12:30pm to 1:30pm