Students present original research findings at a formal academic conference and have the opportunity to publish their work.
This program is designed for high-achieving high school students interested in advanced research at the intersection of biomedical science and data analytics. Participants will work in teams of 3-4, mentored by George Mason University scholars, physicians, and surgeons. 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 will gain proficiency in selected medical topics, research tools, and data analysis techniques, culminating in a conference presentation at the National Students AI and Medical Informatics Conference and a final research paper submission. The immersive experience aims to expose students to real-world medical topics and develop technical skills and knowledge in biomedical and policy-relevant contexts.
A typical day involves synchronous online sessions on Mondays, focusing on lectures and interactive discussions, complemented by weekly research assignments with support from PhD research assistants and optional office hours for feedback.
This program is best for high-achieving high school students seeking to engage in advanced research in biomedical science and data analytics.
Mason Square, Arlington, VA (hybrid format)
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