PHAISE AI Research Day
Department & Center Event
At the first AI Research Day, Ziad Obermeyer, Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the UC Berkeley School of Public Health, will speak on the intersection of machine learning, medicine, and health policy. Additionally, AI Research Day will:
- Inform audiences on cutting edge applications and issues of AI in public health
- Highlight AI-related research activities across the school and identify gaps
- Provide opportunities for students and faculty across departments to connect and collaborate on projects
For more information, visit the event page:
https://publichealth.jhu.edu/node/303106.
Johns Hopkins Bloomberg School of Public Health 2024-11-13 17:30 2024-11-13 21:00 UTC use-title Location Wolfe Street Building/W1214 (Sheldon Hall)
Presented by Public Health + AI Strategic Endeavors, please join us for the first-ever AI Research Day on November 13th, 2024. The event will kick off with a keynote address given by Ziad Obermeyer followed by a poster session of current and recent AI research in Feinstone Hall.
Keynote Address - Sheldon Hall
12:30-2:00pm
Ziad Obermeyer is the Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the UC Berkeley School of Public Health, where he does research at the intersection of machine learning, medicine, and health policy. He previously was an Assistant Professor at Harvard Medical School, where he received the Early Independence Award, the National Institutes of Health’s most prestigious award for exceptional junior scientists. He continues to practice emergency medicine in underserved parts of the US. Prior to his career in medicine, he worked as a consultant to pharmaceutical and global health clients at McKinsey & Co. in New Jersey, Geneva, and Tokyo.
Dr. Obermeyer will speak on his groundbreaking insights on how machine learning can help doctors make better decisions and help researchers make new discoveries by ‘seeing’ the world the way algorithms do.
Poster Session - Feinstone Hall
2:00-4:00pm
Peruse the latest in AI research at BSPH from all Departments. Take advantage of the opportunity to learn more about:
- Cutting edge applications and issues of AI in public health
- AI-related research activities across the school and identify gaps
- Opportunities for students and faculty across departments to connect and collaborate on projects
Light refreshments will be provided. No registration is required.