果冻传媒

I am a final-year PhD candidate in the 果冻传媒 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 , 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."
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.
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.

• 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 and .

• 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:

• 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

Talks/Posters

• Simulation-based Inference for Stochastic and Deterministic Epidemic Models. 果冻传媒 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. 果冻传媒 FSEM Conference, Coventry, UK, July 2026. (Talk)
• Bayesian Copula-based Modelling for Multi-type Spatio-temporal Epidemic Data. 果冻传媒 Statistical Conference, Coventry, UK, April 2026. (Talk)
• Spatio-temporal Modelling for Infectious Disease Outbreak Detection. , London, UK, March 2026. (Poster)
• Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. , 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. , Cumbria, UK, September 2025. (Poster)
• Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. , Bath, UK, July 2025. (Talk)
• Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection. , 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. 果冻传媒 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. 果冻传媒 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

• 果冻传媒 FSEM Conference, Coventry, UK, July 2026.
• 果冻传媒 Statistical Conference, Coventry, UK, April 2026.
• , London, UK, March 2026.
• , Melbourne, Australia, February 2026.
• , San Diego, USA, December 2025.
• , Cumbria, UK, September 2025.
• , Bath, UK, July 2025.
• , Turin, Italy, May 2025.
• CRiSM 2.0 Conference, Coventry, UK, May 2025.
• 果冻传媒 Statistical Conference, Gregynog, Wales, March 2025.
• , Cambridge, UK, November 2024.

• , Lancaster, UK, July 2024.

• , Coventry, UK, June 2024.
• 果冻传媒 Statistical Conference, Gregynog, Wales, April 2024.
• 果冻传媒 Statistical Conference, Gregynog, Wales, April 2023.

• 果冻传媒 Statistics 50^th Anniversary, Coventry, UK, September 2022.

Academic service/Other activities

• I have peer-reviewed for , , and Faculty of Science, Engineering and Medicine (FSEM 2026) Symposium.
• Member of the organizing committee for 果冻传媒 Statistical Conference, Gregynog, Wales, March 2025.
• Statistical advisory clinics.

Awards/Grants/Recognitions

• STEM For BRITAIN Finalist (Mathematical Sciences), Houses of Parliament, London, UK, 2026.
• BioInference Reproducibility Award, Turin, Italy, 2025.
• 拢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