Wu’s group, the Laboratory for Industrial and Applied Mathematics (LIAM), seeks to provide mathematical modeling and analysis based insights to answer such questions as:

  • How can we predict the long-term status of an ecosystem comprising interacting and competing species, which continue to move around in search of limited food and resources?
  • What factors might lead to the extinction of, or to an infectious disease outbreak in, a particular species, and how human interventions and environmental changes alter these factors?
  • How can neural networks - systems that work like a human brain, learning to "think" and to solve difficult problems based on previous experiences - be used in data mining applications, such as collecting and filtering through massive amounts of correlated information to find patterns?

LIAM’s scientific work, largely using delay differential equations and other infinite dimensional dynamical systems, aims to develop the theory and techniques of non-linear analysis and dynamical systems to resolve issues arising from “real-world” applications in ecology, epidemiology, data processing, and neural dynamics.

LIAM welcomes and creates opportunities for international, interdisciplinary and industrial collaborations through an integrated research-training-networking program.

Dr. Jianhong Wu
University Distinguished Research Professor
Canada Research Chair in Industrial and Applied Mathematics
Director, Advanced Disaster, Emergency and Rapid Response Simulations (ADERSIM)
Director, Laboratory for Industrial and Applied Mathematics (LIAM)
Department of Mathematics and Statistics
York University
Editor-in-Chief: Infectious Disease Modelling
Core Member to Vision: Science to Applications (VISTA) Program
Co-Applicant: NSERC CREATE program in Data Analytics & Visualization
Co-Applicant: NSERC CREATE program in ADERSIM
Founding Member: Center for Innovation in Computing