Ziad Obermeyer

Dr. Ziad Obermeyer is the Blue Cross of California Distinguished Associate Professor at theUniversity of California, Berkeley, School of Public Health. He is an academic and researcher whose work focuses on the application of machine learning inhealthcare. His research aims to improve medical decision-making by developing tools that address issues such as heart attack diagnostics, overlooked causes of pain, and racial bias in medical algorithms. His findings have influenced industry practices, shaped policy, and prompted regulatory changes.

Dr. Obermeyer co-leads a research lab in collaboration with theUniversity of Chicago. The lab develops AI tools to improve healthcare decision-making and advance understanding of medical science. He is also a co-founder ofNightingale Open Science, a nonprofit organisation providing large medical imaging datasets to researchers, and Dandelion, a startup promoting AI innovation in healthcare.

Recognised as one ofTIMEmagazine's 100 most influential people in AI, Dr. Obermeyer has received various accolades, including the National Institutes of Health Early Independence Award. His work on algorithmic bias in healthcare has been widely cited and has led to testimony before the US Senate Finance Committee.

Dr. Obermeyer has published extensively in prestigious journals, includingScience,Nature Medicine, and theNew England Journal of Medicine. His publications address topics such as healthcare costs, predictive modelling, and algorithmic bias in clinical decision-making. He has also co-authored guidelines on reducing bias inhealthcarealgorithms.

Dr. Obermeyer is a practising emergency medicine physician and a Research Associate at the National Bureau of Economic Research. He holds an MD from Harvard Medical School, an MPhil from the University of Cambridge, and a BA from Harvard College. Before his academic career, he worked as a consultant at McKinsey & Company.