AI/ML Internship

An internship focused on Using Al/ML with Public Health Data provides students with hands-on experience in applying machine learning and data science to real-world health challenges. Interns assist with cleaning, managing, and analyzing diverse datasets such as disease surveillance, hospitalization, and demographic records. They learn to develop predictive models, generate visualizations, and support dashboards that inform policy and community health interventions. The role emphasizes both technical skills-like coding, statistical modeling, and Al automation-and practical skills, including communicating findings to non-technical audiences. Ultimately, interns gain experience in leveraging Al to strengthen evidence-based decision-making in public health.

Qualifications

Current undergraduate or graduate student in related field.