The mod4PH Research Highlights podcast showcases new and relevant mathematicaL modelling concepts and research for public health. This mini-series highlights the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong.

AIMMLab focuses on developing and deploying innovative AI, data science, and mathematical methods and technologies to address complex, real-world problems in epidemiology, ecology, and data processing. Across five episodes, AIMMLab members discuss how they leverage novel AI tools for mathematical modelling and for Canadian public health.

Episode Overview

Episode 1: Introduction to the AIMMLab

Program framework & foundational pillars of research with our Director Prof. Jude Kong.

Click below ▶ to listen

Episode 2: AI & Modelling for Community Health

Explainable AI for epidemic modelling; advocacy for community health with Sherif Shuaib and Dr. Yang Xu.

Click below ▶ to listen

Episode 3: Behaviour, Privacy & Novel AI in Transmission Models

Human behaviour in disease transmission models, novel AI applications, and data-privacy considerations with Dr. Qing Han and Dr. Abbas Yazdinejad.

Click below ▶ to listen

Episode 4: Early Warning, Unconventional Data & Co-Development

AI with unconventional data sources for early-warning systems; co-developing community-based digital health tools with Dr. Zahra Movahedi Nia and Dr. Gelan Zewdie.

Click below ▶ to listen

Episode 5: Reflections & The Next Five Years

Cross-episode reflections; international collaboration to strengthen Canadian health systems; AIMMLab’s vision for the next five years.

Click below ▶ to listen