People

I am currently Reader (equivalent to Associate Professor) in the Department of Life Sciences at Imperial College London (Silwood Park campus). I am mainly interested in developing general mathematical models using quantitative insights from (especially, macro-ecological) patterns. I am particularly interested in biomechanical constraints on individual energetics (temperature-dependence and body size-scaling , a la Ecological Metabolic Theory), and how these then act, through species interactions, as constraints on the emergent dynamics and function of complex ecological systems (especially, ecosystems and vector-borne disease transmission systems).

I am interested in computational modelling tools, and the complex dynamical systems driving ocean microbial ecology across spatial scales. My background is in mathematics, with particular interest in dynamical systems and applications to biological modelling. I also have some research experience working with statistical earthquake forecast models and machine learning algorithms for medical diagnosis.

I am interested in how ecosystem properties such as stability and functioning emerge from the structure and dynamics of species interactions. I use theoretical models and empirical data to examine the effects of temperature on ecosystem carbon flux, scaling individual thermal responses to the ecosystem level. Specifically, I use metabolic theory and classic food web approaches to assess the effects of dynamics on this process.

I am interested in microbial communities. My PhD project focuses on modelling the effects of temperature on microbial community functioning. In the past I have worked on monitoring and analysing the impacts of environmental perturbations on bacterial communities in lab and field studies.

My PhD project aims to improve upon current salmonid population models by incorporating metabolic theory to population genetics, habitat, movement, dietary data and survival, with the aim to determine the key intrinsic drivers of salmon population dynamics and understand how a species is influenced by its environment. This will then be developed to model different conservation and management techniques targeting different stages in the Alamon life-cycle in order to benefit populations. I am co-supervised by James Rosindell and Guy Woodward.

Microbial communities, Dynamical systems, non-linear dynamics, statistical physics.

Bring on the chaos!