Full Professor, Department of Mathematics & Statistics
Ph.D. in Dynamical Systems and Math, Hunan University
Post-doctoral fellowship, Memphis University
Lay Research Summary
Within Dr. Wu lab they are analyzing the information processing capabilities of neural networks modelled by differential equations to develop effective mathematical formulas and software for pattern recognition, classification and prediction. Such as the study of the long-term status of an ecosystem ...read more comprising interacting and competing species, and the outcome this will have on the limited food and resources of the environment. In addition as well as the factors that lead to the extinction of, or to an infectious disease outbreak in a particular species and how neural networks – systems that work like a human brain learn how to think and solve difficult problems based on previous experiences and how these can be used in data mining applications such as collecting and filtering through massive amounts of correlated information to find patterns. Wu’s research lab also works with industrial partners to assess the effectiveness of their research discoveries in solving actual data analysis tasks.read less
Studying the dynamics of differential equations that arise from population biology and neural networks.
T cell memory to evolutionarily conserved and shared hemagglutinin epitopes of H1N1 viruses: a pilot scale study.
Journal: BMC Infect Dis.
Nucleus pulposus cells expressing hBMP7 can prevent the degeneration of allogenic IVD in a canine transplantation model.
Journal: J Orthop Res.
Influenza H3N2 variant viruses with pandemic potential: Preventing catastrophe in remote and isolated Canadian communities.
Journal: Prev Med.
Pulse HIV vaccination: feasibility for virus eradication and optimal vaccination schedule.
Journal: Bull Math Biol.
Linking antimicrobial prescribing to antimicrobial resistance in the ICU: before and after an antimicrobial stewardship program.
Findings will provide theoretical mathematical foundations that can be used to predict the long-term status of ecological systems and to develop neural networks architectures to analyze patterns in large data sets.
Honours & Awards
Canada Research Chair in Industrial and Applied Mathematics
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