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Department of Statistics

Matthew Adeoye

I have accepted a Research Associate position in Spatial Modelling at Imperial College London. My personal webpage will be more up to date, as this page may soon become outdated.

I am a final-year PhD candidate in the Warwick Math and Stats CDT working 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.

Research

  1. Matthew Adeoye, Simon E.F. Spencer, Xavier Didelot (2026)."Bayesian Copula-based Modelling for Multi-type Spatio-temporal Epidemic Data." doi.org/10.48550/arXiv.2605.03608
  2. Matthew Adeoye, Simon E.F. Spencer, Xavier Didelot (2026)."Simulation-based Inference for Stochastic and Deterministic Epidemic Models." To appear in FSEM 2026 Conference Proceedings
  3. Matthew Adeoye, Kallista Chan, Christian Bottomley (2026)."Statistical Methods for Assessing the Effect of Rice Cultivation on Abundance of Mosquito Larvae: A Randomized Field Trial." To appear in FSEM 2026 Conference Proceedings
  4. Matthew Adeoye, Xavier Didelot, Simon E.F. Spencer (2025)."Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection." Epidemics, 54, 100879. doi.org/10.1016/j.epidem.2025.100879
  5. Yahaya H. Umar, Matthew Adeoye (2020)."A Markov Regime Switching Approach of Estimating Volatility Using Nigerian Stock Market." American Journal of Theoretical and Applied Statistics, 9, 80-89. doi: 10.11648/j.ajtas.20200904.11
  • 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 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.

Teaching

I have taught on the following postgraduate/undergraduate modules:

Talks/Posters

  • Simulation-based Inference for Stochastic and Deterministic Epidemic Models. Warwick FSEM Conference, Coventry, UK, July 2026. (Poster)
  • Statistical Methods for Assessing the Effects of Rice Cultivation on the Abundance of Mosquito Larvae: A Randomized Field Trial. Warwick FSEM Conference, Coventry, UK, July 2026. (Talk)
  • Bayesian Copula-based Modelling for Multi-type Spatio-temporal Epidemic Data. Warwick Statistical Conference, Coventry, UK, April 2026. (Talk)
  • Spatio-temporal Modelling for Infectious Disease Outbreak Detection. STEM For BRITAIN, London, UK, March 2026. (Poster)
  • Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. EPIDEMICS 10, San Diego, USA, December 2025. (Talk)
  • Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. SPAAM, Coventry, UK, October 2025. (Talk)
  • Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. IDDconf, Cumbria, UK, September 2025. (Poster)
  • Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. LMS-Bath, Bath, UK, July 2025. (Talk)
  • Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. BioInference, Turin, Italy, May 2025. (Talk)
  • Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. CRiSM 2.0 Conference, Coventry, UK, May 2025. (Poster)
  • Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. Warwick Statistical Conference, Gregynog, Wales, March 2025. (Talk)
  • Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. SBIDER, Coventry, UK, March 2025. (Poster)
  • Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. Epidemics Group, Coventry, UK, December 2024. (Talk)
  • Statistical Inference for Discrete-time Stochastic and Deterministic Epidemic Models. Warwick Statistics Research Interns, Coventry, UK, July 2024. (Talk)
  • Intrinsic Gaussian Markov Random Fields; Simulation and Inference. Epidemics Group, Coventry, UK, February 2024. (Talk)

Conferences attended

Academic service/Other activities

Awards/Grants/Recognitions

  • STEM For BRITAIN Finalist (Mathematical Sciences), Houses of Parliament, London, UK, 2026.
  • BioInference Reproducibility Award, Turin, Italy, 2025.
  • £3000 MWA PhD Travel Grant for research study visit to Monash University, Melbourne, Australia, 2025.
  • ECR grant for LMS-Bath Symposium on Inverse Problems and Artificial Intelligence in Medicine, Bath, UK, 2025.

Contact

Email: Matthew.Adeoye@warwick.ac.uk

Office: MB4.14

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