Matthew Adeoye
I am a second-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 research area involves the application of Bayesian inference and the development of hybrid methods to effectively model epidemic outbreaks in metapopulation systems.
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
- 2023/24 (Term 2): ST117 Introduction to Statistical Modelling
- 2023/24 (Term 1): APTS Statistical Computing lab seminars
- 2023/24 (Term 1): ST229 Probability for Mathematical Statistics
- 2022/23 (Term 2): ST117 Introduction to Statistical Modelling
Previous research
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CDT 1st year project
Bayesian inference for discrete-time stochastic and deterministic epidemic models. Supervised by Professor Xavier Didelot and Professor Simon Spencer.
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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.
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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
Conferences attended
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Warwick Statistical Conference, Gregynog Hall, Wales, April 2023.
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Warwick Statistics 50th Anniversary, Coventry UK, September 2022.
