Students conduct original research mentored by university scholars and physicians, culminating in a presentation at a national conference.
The George Mason University AI and Medical Informatics for Emerging Research Scholars program is designed for high-achieving high school students interested in advanced research at the intersection of biomedical science and data analytics. Participants work in teams of 3-4, mentored by George Mason University scholars, physicians, and surgeons from medical schools nationwide. The program emphasizes hands-on medical research using methodologies such as R/Python programming and large language models (LLMs) for biostatistical analysis and network modeling. Students gain proficiency in selected medical topics, research tools, data analysis techniques, and computational methods applied to biomedical research questions. They learn to formulate research questions, access and collect data, conduct statistical and computational analyses, develop professional research reports, and present findings in academic settings. The program culminates in a presentation of original research at the National Students AI and Medical Informatics Conference, where outstanding projects are recognized. Students also have opportunities to attend seminars and interact with medical school students, physicians, and surgeons engaged in diverse research areas.
A typical day involves virtual synchronous sessions, weekly research assignments with support from PhD research assistants, and optional research feedback and office hours.
This program is best for high-achieving high school students seeking to engage in advanced research at the intersection of biomedical science and data analytics.
Mason Square (Arlington)
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