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, outbreak detection, 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

Research

• Publications/Preprints

  Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. doi.org/10.48550/arXiv.2503.01456

  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

• CDT 1^st 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 Professor Christian Bottomley and Dr Kallista Chan.

• Bachelor's thesis

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

Talks

• Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. SBIDER, Warwick, March 2025. (Poster)
• Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. Epidemics Group, Warwick, December 2024.
• 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

• Monte Carlo Sampling: beyond the diffusive regime, Cambridge, November 2024. (Virtual)

• 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 50^th Anniversary, Coventry, September 2022.

Other activities

• Member of the organizing committee for Warwick Statistical Conference, Wales, March 2025.
• Statistical advisory clinics.

Contact

Email: Matthew.Adeoye@warwick.ac.uk

Office: MB4.14

Github

LinkedIn

Researchgate

Website