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Michael Irvine
Michael Irvine
Areas of interest
Mathematical modeling, Bayesian analysis, evidence synthesis
Biography
Dr. Irvine obtained his MSci in Mathematics at University College London. He then obtained his PhD in Mathematical Ecology and Complexity Science from the University of Warwick, as well as a MSc in Complexity Sciences. He has completed a postdoctoral fellowship evaluating elimination campaigns for neglected tropical diseases as part of the Bill & Melinda Gated Foundation neglected tropical disease modelling consortium. He further received a CIHR Health Systems Impact Fellowship award collaborating with the BC CDC and the BC Ministry of Mental Health & Addictions evaluating the impact of the province鈥檚 overdose response.
Research
Dr. Irvine鈥檚 work lies at the interface between mathematical modelling, biostatistics, and machine learning. He incorporates a broad range of techniques into his work including Bayesian evidence synthesis methods that can utilize disparate data sources to provide insight for disease epidemiology and broader public health applications.
His work has supported the evaluation of a number of interventions including within: vector-borne disease, sexually transmitted and blood-borne infections, respiratory infections, and opioid-related overdose.