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
- 2024/25 (Term 2): MA4M1/MA6M1 Epidemiology by Example
- 2024/25 (Term 1): ST232/ST233 Introduction to Mathematical Statistics
- 2023/24 (Term 2): MA4M1/MA6M1 Epidemiology by Example (Marking)
- 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
-
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
-
11th International Workshop on Spatio-Temporal Modelling, Lancaster, July 2024.
- BioInference, Coventry, June 2024.
- Warwick Statistical Conference, Wales, April 2024.
- Warwick Statistical Conference, Wales, April 2023.
-
Warwick Statistics 50th Anniversary, Coventry, September 2022.