My research lies at the intersection of partial differential equations and their applications in biology and ecology. I am broadly interested in how spatial structure, movement, interaction, and environmental heterogeneity shape population-level behaviour, and in how these effects can be captured and analysed through PDE models.

A major part of my recent work has focused on nonlocal aggregation-diffusion equations, including questions of well-posedness, bifurcation structure, stability, and parameter recovery. These models are useful for describing movement influenced by perception, memory, and nonlocal interactions, and they provide a flexible framework for studying how biological mechanisms give rise to spatial pattern formation.

I am also interested in the effects of habitat loss and fragmentation on persistence and spatial population structure. This includes both theoretical reaction-diffusion models and work that connects more directly with data and experiment. A central theme running through much of my work is the relationship between movement behaviour and landscape structure: how different movement mechanisms interact with environmental change, and what this means for pattern formation, coexistence, and persistence.

My current Leverhulme Early Career Fellowship at the University of Sheffield brings these themes together by studying both nonlocal movement models and the impacts of habitat loss and fragmentation, with a particular emphasis on how movement influences population outcomes in changing environments.

More generally, I aim to combine rigorous analysis, numerical methods, and data-informed modelling to better understand the mechanisms underlying biological pattern formation and population dynamics.