What we aim to achieve
Our Lab Objectives
To design and deploy novel mathematical, artificial intelligence and data science methodologies and technologies for decision makers in communities, industry and government in order to provide important insights into local and global-scale socio-ecological challenges.
Our Areas of Interest include;
- Disease Modeling
- Mathematical Biology
- Artificial Intelligence
- Data Analytics
- Design and deploy AI, data science, and mathematical methodologies and technologies
- To enhance public health preparedness and response to emerging and re-emerging infectious disease outbreaks
- For adaptations of fish and fishing communities to rapid climate velocities
- For greenhouse gas emission from oil sand tailings
- For Phytoplankton dynamics
2. Establish and maintain a dedicated group of academic researchers and train highly qualified individuals to address knowledge gaps, capacities, and generate solutions.
3. Inform community level, national, regional, and global policies, and practices on the use of AI, Mathematics, and data science methods to improve equity and to provide important insights into local and global-scale socio-ecological challenges.
Latest News
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Explore our blog for insightful articles and updates on the latest trends in mathematical modelling, artificial Intelligence and public health.
Prof Jude recognized for enumerating positive change by inspiring Black students to aspire
April 17, 2024
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Leveraging AI for Pandemic and Epidemic Preparedness and Response Network
March 31, 2024
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Our Pillars
Our Funders
AIMMLAB is funded by the IDRC, NFRF, SIDA and NSERG CRSNG. Our Lab is hosted at University of Toronto, Canada.
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