A seminar featuring Ziad Obermeyer, PhD, an Associate Professor.
For more information, visit the event page:
https://publichealth.jhu.edu/node/303246.
Johns Hopkins Bloomberg School of Public Health 2024-09-05 16:00 2024-09-05 17:00 UTC use-title Location Wolfe Street Building/W4030 Zoom
A seminar featuring Ziad Obermeyer, PhD, an Associate Professor and Blue Cross of California Distinguished Professor at the UC Berkeley School of Public Health and a founding member of the Berkeley–UCSF joint program in Computational Precision Health. Dr. Obermeyer's research uses machine learning to help doctors make better decisions and help researchers make new discoveries—by ‘seeing’ the world the way algorithms do. His work on algorithmic racial bias has been highly influential, shaping how healthcare organizations and policymakers hold AI accountable, from state Attorneys-General to the Senate Finance Committee. Dr. Obermeyers is also the co-founder of Nightingale Open Science and Dandelion Health, 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. Previously, he was Assistant Professor at Harvard Medical School and continues practicing emergency medicine in underserved communities.
Zoom meeting Link (this seminar will be recorded):
https://jh.zoom.us/j/96495107780?pwd=638dWqUfSqYDGYjd30ztxphdWPTam3.1
Meeting ID: 964 9510 7780
Passcode: 726830
