Research

ACCDMi researchers use data science, applied mathematics, and statistics to advance disease ecology modelling.

1. ONE Health and zoonotic infections (Led by Dr. Javier Sanchez)

Projects: Avian influenza models, spillover risk, amphibian disease ecology.

2. Stochastic modelling, epidemic forecasting, and small jurisdictions (Led by Dr. Edward Susko)

Projects: Inference for stochastic models, epidemic forecasting, spatial-temporal risk in small communities, outbreak modelling, stochastic control, and advocacy for small jurisdictions.

3. Dynamical systems and control in disease ecology

Projects: Hybrid dispersal models, imperfect vaccination, tumour models with therapy, seasonality and dispersal, and optimal control strategies.

4. Modelling education (Led by Dr. Amy Hurford)

Projects: Online outreach resources, local outreach events, and training workshops.

  • A. Hurford. What is mathematical modelling? And how to be great at it. Blundon Seminar, Memorial University. May 21, 2026. Audience: ~30 high school students with aptitude and interest in mathematics.

  • A. Hurford. What is mathematical modelling? And how to be great at it. Plenary lecture, Canadian Undergraduate Mathematics Conference, McMaster University. Audience ~40 conference participants. June 25, 2026.