AIMMLab—AI and Mathematical Modelling Lab

🔍 Stay Connected with AIMMLab! Follow us to stay up to date on our research activities, job and postdoc opportunities, and other opportunities too. 🌐 Follow us on: 🔗 LinkedIn: shorturl.at/219s5 🔗 Bluesky: bsky.app/profile/aimmla… 🔗 Instagram: instagram.com/aimmlab.dlsph/…

📚 March Publications Spotlight: Mar_1!!! We are proud to share a new publication titled “Infectious disease burden and surveillance challenges in Jordan and Palestine: a systematic review and meta-analysis,” featuring our director, Prof. Jude Kong, and other collaborators.

📚 March Publications Spotlight: Mar_2!!! AIMMLab is pleased to share a new publication titled “Machine learning framework for early detection of polio outbreaks from acute flaccid paralysis surveillance data” featuring our director, Prof. Jude Kong, and other collaborators.

We are proud to share a new publication by our director Prof. Jude Kong and Dr. Nicola Luigi Bragazzi: “Mapping the Digital One Health/One Digital Health paradigm: A bibliometric and foresight-based analysis of emerging trends and future directions.”

📚Publications Spotlight: Mar_4!!! AIMMLab is excited to share a new publication titled “Environmental semantic clustering-guided multimodal fusion for enhanced interpretability in methane concentration prediction”, featuring our director, Prof. Jude Kong.

This week at AIMMLab, Gelan Ayana Zewdie, Ph.D. gave a talk on how AI can support equitable health communication through a multilingual chatbot developed to expand access to reliable measles information across diverse communities.

Eid Mubarak & Happy Nowruz from AIMMLab! 🌙🌸 Wishing you joy, peace, and new beginnings. Special thanks to Abbas for a wonderful Nowruz celebration—truly made our day!

Our Executive Director @dzevela will be giving a keynote tonight at the BrainSTEM Alliance and NSBE Professionals Innovators in STEAM Event at the University of Toronto! Title: “From Community Problems to Co-Created Solutions: The Black AI Innovation Approach.”

New Publication Alert: In our recent publication, Prof. @dzevela and Prof. Abbas Yazdinejad explore how AI and federated learning can enable secure collaboration across Canada’s health data systems while protecting privacy. Here is a link to the study: lnkd.in/eay2ifgw

On March 7, 2026, our director Prof. @dzevela, participated in the UofT AI Ethics Conference hosted by the student organization IlluminAI. The discussion explored how AI modelling can support decision-making in public health, climate systems, and the society at large.

This week at #AIMMLab 🧠🔬 Keishi Suzuki presented his ongoing research: Distribution-Aware Multi-Stage Transfer Learning for Mammography Using Biomedical Vision–Language Models. Trivia was hosted by Jusleen! 🎉

#AIMMLab Weekly Meeting Highlights | 2/27/2026 Dr. Yang Xu presented how atmospheric physics + causal AI can move methane research beyond detection to identifying which facilities are responsible in Alberta’s Oil Sands. Trivia led by Christina Lu. Nancy Chen took the win 🏆

Our Executive Director, Prof. @dzevela , delivered a keynote at the University of Saskatchewan Black History Month Research Symposium 2026. From village pathways to AI-driven health systems innovation — and youth programs like Agentic AI & Ask a Black Mathematician.

February Spotlight #5 🦠🧠 Our new paper benchmarks ChatGPT-4o, Grok, Gemini 1.5 Pro & DeepSeek R1 for avian flu risk communication + real-time decision support across stakeholder scenarios. Big promise—needs role-aware evaluation. sciencedirect.com/science/articl…

New publication! Our study shows that behavioural change + targeted vaccination can significantly reduce mpox transmission in the DRC — with vaccination of children having the greatest impact. Read more: sciencedirect.com/science/articl…

📢 New publication! Our modeling study shows that pre-exposure vaccination in high-risk populations is key to preventing mpox resurgence in Canada. Without it, mpox could become endemic. Read more: link.springer.com/article/10.118…

📘 New chapter: Bridging the AI Divide in Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications. Advancing equitable access to compute & data. Grateful to @IDRC_CRDI for the support. 🔗 link.springer.com/chapter/10.100…

New publication 🚨 AI-driven ST-CAN for high-resolution methane prediction, validated in the Athabasca oil sands region. More accurate, robust, and interpretable climate monitoring. Link: sciencedirect.com/science/articl… Thanks to @NSERC_CRSNG #AI #Methane #ClimateTech

INDICIUM @STEM_Fellowship – #AIMMLab 2026 🌟 Welcome Mellisa Zhang, a @UofT Engineering Science student, to our #Indicium cohort! Her interests spans healthcare applications of machine intelligence to disease. Project details soon.

🌍 AIMMLab is proud to welcome Alberto Montero Molina, selected as a 2026 Mitacs Globalink Research Intern, who will join us this summer at the University of Toronto. He will conduct research in AI and data science under the supervision of our director Prof @dzevela.

INDICIUM @STEM_Fellowship – #AIMMLab 2026 🌟 Welcome Keishi Suzuki, a @UofT Math & CS student, to our #Indicium cohort! His interests span #MachineLearning robustness & healthcare. Over the next 16 weeks, he’ll be supervised by Prof. @dzevela. Project details soon. 🏆