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Matthew is an early career researcher working on the Infection Analytics Program at the Kirby Institute. He obtained his PhD in Mathematics in 2023. His research involves the use of Bayesian statistics to solve industrial inverse problems, which includes applying mathematical models to thermogravimetric analysis and conducting Bayesian inference on experimental data. Matthew's current research focuses on translational approaches to assess the effectiveness of vaccination and treatment for infectious diseases. His analyses aim to use immune markers and antibody levels to correlate and determine the efficacy of vaccines, with correlates of protection extending across multiple infectious diseases, including Mpox and Covid.
Kirby Institute • Sydney, Australia
Working on the Infection Analytics Program involving Bayesian statistics and vaccination effectiveness.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.