About

I am a Statistics PhD student in the School of Mathematics at the University of Birmingham, supervised by Panayiota Touloupou and Rowland Seymour. My research focusses on Bayesian methods for coupled hidden Markov models and their applications in epidemiology.

Previously, I completed a BSc in Mathematics at the University of Edinburgh in 2024, where my dissertation modelled extreme temperatures in the British Isles.

Research

Broadly, I work with coupled hidden Markov models (CHMMs) to model disease spread using longitudinal datasets of individual-level diagnostic test results. We model the diagnostic test result as a random variable that is dependent on the true disease status of an individual (the carriage state). Bayesian inference for these models estimates the carriage states and model parameters jointly.

My PhD research uses CHMMs to model the spread of Acinetobacter baumannii in an intensive care unit using a dataset with test results for both patients and bed units, which we can consider as two different "types" of individuals. We have extended previous methods to account for an open population of patients, as well as incorporating both types of individuals, which can be modelled using two interacting CHMMs. Further details can be found on the poster I presented at the 2026 RSS Conference in Bournemouth and the European Meeting of Statisticians in Lugano.

Currently (Spring/Summer 2026), I am working as a research assistant supervised by Panayiota Touloupou as part of the Neglected Tropical Disease Consortium, analysing data on the prevalence of lymphatic filariasis.

Contact

My departmental profile page is here, and you can also email me, or find me on GitHub and LinkedIn.