Ziad Obermeyer is Associate Professor and Blue Cross of California Distinguished Professor at UC Berkeley, and a founding member of the Berkeley–UCSF joint program in Computational Precision Health. His research uses machine learning to help doctors make better decisions, and help researchers make new discoveries by ‘seeing’ the world the way algorithms do. He also studies where algorithms can go wrong, and how to fix them: his work on algorithmic racial bias has been highly influential in shaping how AI is held accountable, from work with state Attorneys-General to testimony before the Senate Finance Committee. He co-founded Nightingale Open Science, a non-profit that makes massive new medical imaging datasets available for research; and Dandelion, a startup platform for AI innovation in health. He is a Chan–Zuckerberg Biohub Investigator, a Research Associate at the National Bureau of Economic Research, and was named one of the 100 most influential people in AI by TIME magazine and an emerging leader by the National Academy of Medicine. Before coming to Berkeley, he was an Assistant Professor at Harvard Medical School and a consultant at McKinsey & Co.
Papers, Articles and Publications
Diagnosing Physician Error: A Machine Learning Approach to Low-Value Health Care
Learn MoreAn algorithmic approach to reducing unexplained pain disparities in underserved populations
Learn MoreIndividual differences in normal body temperature: longitudinal big data analysis of patient records
Learn MoreDissecting racial bias in an algorithm used to manage the health of populations
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