School of Computer Science and Statistics
**This project is for students in the Statistics & Data Science programme (M.Sc) only ** R Shiny apps are being used to enrich the teaching of statistics courses (Berkmann et al., 2025; Wang et al., 2021). These apps can provide students with an engaging and interactive experience. One popular app is Radiant – A Shiny … Read more
**This project is for students in the Statistics & Data Science programme (M.Sc) or MSc in Statistics and Sustainability ** “Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method. For the findings of a study to be reproducible means that results obtained by an experiment or an observational study … Read more
This project is in collaboration with the joint School of Medicine/ADAPT health research project called PARADISE. ANCA Vasculitis is a rare auto-immune disease in which sufferers are susceptible to flares, whereby a person’s immune system attacks their own body. Treating people with vasculitis is difficult, because the most successful treatments, such as rituximab, have significant … Read more
I am open to supervising projects in Bayesian methods, statistical computing, and/or applied statistics. Example topics might include, but are not limited to: – Hamiltonian Monte Carlo (HMC) and Riemannian manifold HMC: framing a Bayesian estimation problem as a dynamical system.– Probabilistic numerics: this is a way to quantify uncertainty in approximation of intractable integrals, … Read more