Research and expertise
I am a doctoral researcher specialising in environmental and geophysical fluid dynamics, with a particular focus on gravity currents and stratified flows. My expertise lies in high-resolution numerical simulation, energetics analysis, and the development of diagnostic frameworks for understanding mixing processes. I work with spectral element methods using Nek5000 and NekRS, alongside MATLAB and Python for post-processing, data analysis, and visualisation.
My background is in Industrial Mathematical Modelling, where I developed a broad range of modelling and computational skills across biology, physics, and applied mathematics. Projects I have worked on include tumour growth modelling using hybrid cellular automata and PDE frameworks, disease modelling, and optimisation problems rooted in dynamical systems. Across these areas I have gained strong experience in numerical methods, high-performance computing, and translating mathematical models into practical simulation tools.
My current research integrates computational fluid dynamics, energetics theory, and modern approaches to turbulent entrainment. I am particularly interested in how mixing and energy conversion evolve in density-driven flows, how these processes depend on flow geometry and topography, and how improved diagnostics can inform reduced-order models. Overall, my expertise spans numerical simulation, mathematical modelling, and the use of advanced diagnostics to better understand complex environmental flows.
Current research activity
- Developing a full energetics framework for gravity currents using high-resolution DNS with NekRS
- Investigating entrainment mechanisms and mixing localisation in stratified density currents over variable slopes
- Constructing and validating diagnostic tools for local energetics to improve prediction of mixing in gravity currents
Profile
I completed my BSc in Mathematics at Loughborough University in 2023, where I developed strong foundations in applied mathematics, differential equations, and numerical methods. I then progressed to the MSc in Industrial Mathematical Modelling, which I completed in 2025.
During my MSc I worked on modelling problems across biology, physics, and engineering, gaining experience in MATLAB, Python, and scientific computing. My dissertation was my first formal introduction to stratified flows: I investigated mixing in a stratified shear layer using numerical simulation and energetics-based diagnostics. This work exposed me to many of the concepts that underpin stratified turbulence, including mixing efficiency, density gradients, and energy conversion in shear-driven flows, and ultimately sparked my interest in environmental fluid dynamics.
Following my MSc, I began my doctoral research in fluid dynamics to explore stratified systems in greater depth. My PhD focuses on the energetics and mixing mechanisms of gravity currents, using high-fidelity numerical simulations and diagnostic development to understand how these flows evolve over complex terrain. This work has further developed my expertise in computational fluid dynamics, high-performance computing, and spectral element methods (Nek5000/NekRS), as well as advanced post-processing and data analysis approaches.
Alongside my research, I contribute to the broader academic environment through collaboration, discussion, and engagement within the School’s fluids research community. I enjoy problems that combine mathematical structure with real physical relevance, and my long-term aim is to continue developing rigorous modelling frameworks that advance our understanding of mixing and energetics in stratified flows.