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Matthew Adeoye

I am a third-year PhD student in the Warwick Math and Stats CDT working in the field of Statistical Epidemiology under the joint supervision of Professor Xavier Didelot and Professor Simon Spencer. My PhD research is focused on Bayesian inference for spatio-temporal epidemic modelling. In particular, it involves Markov Chain Monte Carlo methods, latent non-Gaussian hierarchical modelling, filtering methods for state space and hidden Markov models, and likelihood-free methods for fitting infectious disease transmission models to data.

Prior to joining the CDT, I obtained a Master's degree in Medical Statistics from the University of London, School of Hygiene and Tropical Medicine (LSHTM) funded by the UK MRC International Statistics and Epidemiology Group, and a Bachelor's degree in Statistics from the University of Abuja, Nigeria.

Teaching

Previous research

  • CDT 1st year project

    Bayesian inference for discrete-time stochastic and deterministic epidemic models. Supervised by Professor Xavier Didelot and Professor Simon Spencer.

  • Master's thesis
    Statistical Approaches in Assessing the Effect of Rice Cultivation Methods on the Abundance of Mosquito Larvae: A Randomized Field Trial. Supervised by Dr Christian Bottomley and Ms Kallista Chan.
  • Bachelor's thesis

    Estimating and Forecasting Volatility; A Markov Regime Switching Approach. Supervised by Professor Haruna Umar Yahaya.

  • Publication

    A Markov Regime Switching Approach of Estimating Volatility Using Nigerian Stock Market. American Journal of Theoretical and Applied Statistics. Vol. 9, No. 4, pp. 80-89. doi: 10.11648/j.ajtas.20200904.11

Talks

  • Statistical Inference for Discrete-time Stochastic and Deterministic Epidemic Models. Warwick Statistics Research Interns, Warwick, July 2024.
  • Intrinsic Gaussian Markov Random Fields; Simulation and Inference. Epidemics Group, Warwick, February 2024.

Conferences attended