Home to the Canada Research Chair in Community-Oriented Artificial Intelligence and Mathematical Modelling of Infectious Diseases and the Executive Director of ACADIC, AI4PEP, and REASURE2.

Home to the Canada Research Chair in Community-Oriented Artificial Intelligence and Mathematical Modelling of Infectious Diseases and the Executive Director of ACADIC, AI4PEP, and REASURE2.

What we aim to achieve

Our Lab Objectives

Long-term Objective
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
Short-term Objectives
  1. Design and deploy AI, data science, and mathematical methodologies and technologies

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.

Our Thematic Areas

Disease
Modeling
Aquatic Ecosystem Dynamics
Oil Sands GHG Emissions
Data Portals and Dashboards
K-12 Mathematics Outreach
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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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