Assistant Research Professor, Bloomberg School of Public Health
Research interests:
- AI alignment and safety
- AI diagnostic safety
- Health care quality and safety
Ahmed “Hass” Hassoon is an assistant research professor in the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health, with a joint appointment in the Department of Neurology and Neurosurgery at the School of Medicine. His work extends to several centers and programs, including the Armstrong Institute Center for Diagnostic Excellence; the Welch Center for Prevention, Epidemiology, and Clinical Research; the Center for Humanitarian Health; the Johns Hopkins Data Science and AI Institute; and the Malone Center for Engineering in Healthcare. He is also a member of the Data Trust AI Subcouncil for AI in Hospital Operations, a committee that reviews AI products before adopting them in Johns Hopkins Hospital operations.
Hassoon’s research interests lie in the application of data science and AI to improve health care quality and safety. His goal is to reimagine how we deliver clinical care by building safe multi-agent AI models for genuine knowledge discovery that can reason across different modalities to improve diagnostic accuracy.
He is a recipient of an Agency for Healthcare Research and Quality Mentored Clinical Scientist Research Career Development Award (K08) with focus on improving cancer diagnostic safety at the Johns Hopkins Hospital. He is also a 2024 Fellow of the Institute for Healthcare Improvement.
Hassoon co-instructs Data Science and AI for Public Health and Biomedical Sciences in the Bloomberg School’s Department of Biostatistics alongside Brian Caffo, teaching graduate students how to develop, train, and validate AI models to solve real-world problems.