The AI4PH Internship Program offers opportunities to both our trainees and to their host organizations. For our host partners, the interns bring specialized expertise in AI and machine learning to tackle pressing public health challenges, driving transformative change, and fostering professional growth. For graduate trainees and early-career professionals the internship offers practical work-based experience within health and data organizations across Canada.
We are always looking for new partners and internship opportunities – please reach out at anytime
We invite public health organizations across Canada to join us in advancing the field of public health through AI-driven solutions. We’re looking for partners interested in hosting interns to work on projects that tackle pressing public health challenges.
Consider if the following applies to your organization:
If these statements align with your organization’s current situation, we encourage you to explore
this opportunity. We have multiple funding models to support your organization’s participation.
Hosting an intern through the AI4PH program offers
your organization a unique opportunity to leverage specialized AI expertise and fresh perspectives in addressing pressing public health challenges. By
engaging these skilled graduates and the application
of AI tools, your organization can drive innovative projects.
Interns are selected to match your project’s specific requirements, ensuring a meaningful and productive contribution to your project. Additionally, partnering with AI4PH enhances your visibility within the AI and public health communities, as your projects will be featured on our website and promoted through our
extensive network and social media channels.
If you need guidance on suitable project ideas, our Program Lead, Senthujan Senkaiahliyan is available to
help assess your needs. Hosting an intern is not just
an investment in your projects—it’s a step toward advancing the future of public health.
For more information about the trainees who held internships, please visit the trainee page.
Developed and tested novel Natural Language Processing (NLP) models using Canadian digital content.
Focused on measuring community resilience and developing virtual agents for decision support to enhance resilience and social capital.
Supported AI capacity building through event planning, training, and literature reviews within public health.
Applied machine learning techniques to streamline literature reviews for evidence-based decision-making in public health.
Evaluated the use of synthetic datasets for public health analysis, focusing on data protection and equity.
Analyzed social needs using data from user interactions and audio call recordings to identify emergent patterns
Using ED data submitted to the Canadian Hospital Injury Prevention and Promotion program to build and evaluate a natural language processing model (NLP)
Create an integrated open source workflow for conducting, delivering, and visualizing the results of microsimulation projects.
Explore and evaluate text-specific and balckbox fairness algorithms when they are scaled to large population health datasets.
Evaluate and analyze population health data to quantify disease prevalence within a specific geographic area
Work on a mobile application to explore how mobile applications increase health equity and promotion during times of social unrest and conflict.
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