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 growth. For graduate trainees and early-career professionals the internship offers practical work-based experience within health and data organizations across Canada.
OPEN INVITATION FOR PROJECTS
REGISTER YOUR INTEREST TO BECOME AN AI4PH PARTNER BY November 06 2025.
REGISTER HERE: partner registration link
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:
- You are seeking innovative approaches to address current public health issues.
- Your organization has the capacity to host an intern and provide meaningful mentorship (no AI/ML expertise is necessary to host an intern).
- 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 register your interest here: partner registration link by filling out this form.
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.
Register your interest here: partner registration link. If you project idea or organizational need is a good fit, you will have the chance to explore or further develop your project with a member of the AI4PH program team.
PAST PArtners
For more information about the trainees who held internships, please visit the trainee page.
BC Children's Hospital Research Institute / AI & Data Science Unit
Evaluation and optimization of automated PHI redaction to enable safe use of locally hosted LLMs on clinical text
Bruyère Health Research Institute
Natural language processing and machine learning to automate eConsult coding and analysis
Ottawa Public Health
Predictive modeling and route optimization for public health operations
Region of Peel – Public Health
AI and data-driven methods to improve operational efficiency in school communications, staff scheduling, and capacity planning
Risk Assessment Hub, PHAC
Exploratory assessment of AI tools to support PHAC’s Rapid Risk Assessment workflows
Saskatchewan Health Authority (SHA)
Feasibility assessment of simulation-based chronic disease projection modeling using particle filtering and machine learning
Southeast Public Health
AI-enabled social listening and infodemic surveillance to support public health preparedness and trust-building
University of Alberta
Machine learning prediction of severe pediatric asthma events using health system and environmental data
Village Public Health (Arkansas, USA)
Exploratory research and design of evidence-based framework for an AI-supported youth sexual health education tool
Wellington-Dufferin-Guelph Public Health
Machine learning analysis to derive youth health personas from survey data
Youth Wellness Hubs Ontario (YWHO) Provincial Office at CAMH
Natural language processing and machine learning analysis of youth-articulated care goals.
Ontario HIV Treatment Network
Developing AI Algorithms to Enhance the Completeness and Accuracy of Patient Medication Data.
First Nations Health and Social Secretariat of Manitoba
Exploring how AI tools may be used and adapted to serve community needs and to support decision making with current community-level data.
Fraser Health
Automating systematic policy scanning of a range of credible information sources to support the Planning, Evidence, and Policy program to identify trends, opportunities, or policy windows.
Southwestern Public Health
Assessing readiness for AI adoption at the organizational level and developing educational workshops and resources to enhance staff understanding and build skills related to AI. (2025)
AI-supported privacy impact assessments, project intake, and responsible AI governance (2026)
CANUE
Exploring the use of AI/ML for developing North American ensemble air pollution environmental exposure models using existing data holdings combined with newly released air pollution datasets..
Toronto Public Health
Developing an AI-powered social media surveillance system for monitoring health-related risks during large public events in Toronto, specifically targeting the 2026 FIFA World Cup.
Simcoe Muskoka District Health Unit
Assessing the effectiveness of AI-driven scribe technology in improving efficiency and accuracy within public health case documentation.
Thunder Bay Regional Health Sciences Centre
Iintegrating and cleaning multiple hospital system (organizational and patient) datasets, preparing them for further analysis and exploring the use of machine learning models.
Toronto Invasive Bacteria Network (TIBDN)
Curating a database of global vaccination policies that will be used by LLMs to determine feasibility for the following tasks: policy recommendations, guideline summaries and comparative analysis on approaches.
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.
Program updates direct to your inbox
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
Supported By
Copyright © 2022 Artificial Intelligence for Public Health