AI4PH Internship Program

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 growthFor graduate trainees and early-career professionals the internship offers practical work-based experience within health and data organizations across Canada. 

OPEN INVITATION FOR PROJECTS

WE ARE CURRENTLY RECRUITING NEW PARTNERS – PLEASE REACH OUT BY OCTOBER 31st

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: 

  1. You are seeking innovative approaches to address current public health issues.

     

  2. Your organization has the capacity to host an intern and provide meaningful mentorship (no AI/ML expertise is necessary to host an intern).

     

  3. Your organization collects or has access to data that could help answer critical questions in public health. 

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.  

If you are interested in bringing an intern on board, we encourage you schedule an exploratory  conversations with  Senthujan Senkaiahliyan (senthujan.senkaiahliyan@mail.utoronto.ca).  

What are the benefits of hosting an intern?

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.  

Email: senthujan.senkaiahliyan@mail.utoronto.ca 

PAST PArtners

For more information about the trainees who held internships, please visit the trainee page.

HIVE Lab

Developed and tested novel Natural Language Processing (NLP) models using Canadian digital content. 

The Pajoma Institute

Focused on measuring community resilience and developing virtual agents for decision support to enhance resilience and social capital. 

Public Health Agency of Canada

Supported AI capacity building through event planning, training, and literature reviews within public health.  

National Collaborating Centre for Methods and Tools

Applied machine learning techniques to streamline literature reviews for evidence-based decision-making in public health. 

Manitoba’s Data Science Program

Evaluated the use of synthetic datasets for public health analysis, focusing on data protection and equity.

211 Ontario

Analyzed social needs using data from user interactions and audio call recordings to identify emergent patterns

Hospital for Sick Children

Using ED data submitted to the Canadian Hospital Injury Prevention and Promotion program to build and evaluate a natural language processing model (NLP)

Statistics Canada

Create an integrated open source workflow for conducting, delivering, and visualizing the results of microsimulation projects.

Vector Institute

Explore and evaluate text-specific and balckbox fairness algorithms when they are scaled to large population health datasets.

Trillium Health Partners

Evaluate and analyze population health data to quantify disease prevalence within a specific geographic area

Ai4Good Foundation

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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About

AI4PH is focused on building capacity in AI and big data skills for transformative change in addressing population and public health challenges, and understanding how these tools impact health equity.

Contact

155 College St, 6th Floor
University of Toronto,
Toronto, ON M5T 3M7

ai4ph.dlsph@utoronto.ca

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