I am Matthew Oluwasegun Adeoye, a final-year PhD Candidate in Statistics at the University of Warwick, UK. Prior to starting my doctoral study at Warwick, I obtained a Master's degree in Medical Statistics from the University of London, School of Hygiene and Tropical Medicine (LSHTM), and a Bachelor's degree in Statistics from the University of Abuja, Nigeria. 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. During my studies at LSHTM, I was trained on randomized and observational/epidemiological studies involving repeated measurements (longitudinal/clustered data analysis using marginal & subject specific mixed effects models), Survival Analysis, Bayesian Analyses, Clinical Trials, Causal Inference, Generalized Linear Mixed Models & Generalized Estimating Equations, Robust Statistical Methods, etc. I am happy and enthusiastic to collaborate on research projects spanning across Bayesian inference, mathematical/statistical modelling of infectious diseases and randomized controlled trials.
Here are some of the projects I have worked on in the past.
A Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection.
Statistical Approaches in Assessing the Effect of Rice Cultivation Methods on the Abundance of Mosquito Larvae: A Randomized Field Trial.
A Markov Regime Switching Approach of Estimating Volatility Using Nigerian Stock Market.
Feel free to get in touch with me to discuss possible research collaborations and opportunities.