Ziad Obermeyer is Associate Professor and Blue Cross of California Distinguished Professor of Health Policy and Management at UC Berkeley. His research and teaching focus on machine learning as a tool for improving human decision making in health. He has received numerous awards (from the National Academy of Medicine, the National Institutes of Health, and multiple academic societies), and published in a wide range of journals (Science, Nature Medicine, the New England Journal of Medicine, computer science conferences like ICML). He is a Faculty Research Fellow at the National Bureau of Economic Research, and continues to practice emergency medicine in underserved communities. Previously, he was a consultant at McKinsey & Co., and an Assistant Professor at Harvard Medical School.