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Matthew Adeoye


I am currently a first-year PhD student in the Centre for Doctoral Training (CDT) in Mathematics and Statistics. 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.

My research interest lies in the interface of Statistics and Health Science. I have a special interest in infectious disease modelling, longitudinal data analysis, and Bayesian inference generally. I am happy and enthusiastic to collaborate on research projects spanning across epidemiology and randomized controlled trials. Please do get in touch! personal website


Previous research

  • 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