(Machine) Learning About Sudden Cardiac Death from ECG Waveforms

A joint presentation of UCSF’s Center for Intelligent Imaging (ci²) and UCB/UCSF Computational Precision Health (CPH)

Ziad Obermeyer, MD is Associate Professor and Blue Cross of California Distinguished Professor at UC Berkeley, where he works at the intersection of machine learning and health. He is a Chan Zuckerberg Biohub Investigator, a Faculty Research Fellow at the National Bureau of Economic Research, and was named an Emerging Leader by the National Academy of Medicine. His papers appear in a wide range of journals (ICML, JAMA, Nature Medicine, the New England Journal of Medicine, the Quarterly Journal of Economics, Science), and win awards from professional societies in medicine and economics. His work on algorithmic bias is frequently cited in the public debate about artificial intelligence, and in federal and state regulatory guidance and investigations. He is a co-founder of Nightingale Open Science, a non-profit that makes massive new medical imaging datasets available for research, and Dandelion Health, a data platform for AI innovation. Previously, he was a consultant at McKinsey & Co., and an Assistant Professor at Harvard Medical School. He continues to practice emergency medicine in underserved communities.