This NSF-funded program offers hands-on summer learning and stipend opportunities, providing real-world technical skills and engagement with university and industry mentors through a partnership between Rice University, the Digital Health Institute, and Houston Methodist.
The Digital Health Workforce Initiative (DHWI) Software Track at Rice University offers high school students in-depth, hands-on training in machine learning and AI, specifically focusing on how these technologies can detect diseases early and accurately. Participants will gain practical skills using critical tools like PyTorch and other dominant machine learning and AI frameworks. The program emphasizes real-world applications of digital health technologies and provides opportunities to engage with university and industry mentors. Students will explore the data behind diagnoses and learn to train AI models. The initiative is a partnership between Rice University, the Digital Health Institute, and Houston Methodist, aiming to prepare students for careers in emerging biomedical hardware and AI fields.
A typical day involves hands-on training with PyTorch and other machine learning tools, exploring digital health technologies, and engaging with university and industry mentors.
This program is best for high school students interested in understanding how AI and machine learning can be applied to detect diseases and pursuing careers in digital health.
Rice University, Houston, TX
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