I am a second-year DPhil student in the CDT in AI for the Environment, working on mathematical models for disease surveillance and pandemic preparedness. My research focuses on early epidemic dynamics, network epidemiology, and surveillance strategies for pathogen detection. I am also interested in how climate change affects the spread of vector-borne diseases, with the goal of improving intervention strategies under changing environmental conditions.

After completing my BSc in Mathematics at Warwick University (2023), I earned my MSc in Mathematical Modelling and Scientific Computing from Oxford (2024), where my dissertation explored methods for understanding uncertainty and inference in network epidemic models.

• Disease surveillance and early warning systems
• Network epidemiology and metapopulation dynamics
• Climate-sensitive vector-borne disease dynamics
• Parameter inference and uncertainty quantification