Hi, I’m Dylan and welcome to my page! You’ll be able to find the following:
- Some details about me
- Copies of slide decks / presentations / publications
- Information on my projects
- Some blog posts
- And lots more…
About Me
I am a DPhil (PhD) student at the University of Oxford, working at the intersection of high performance computing (HPC) and renewable energy engineering. My research focuses on the use of computational fluid dynamics (CFD) to optimise and better understand large-scale wind turbine systems, with a particular emphasis on floating offshore wind turbines.
My interests lie in the development, application, and improvement of numerical methods for solving complex engineering problems. During my PhD, I focus especially on reduced-order modelling approaches, in particular the Actuator Line Method (ALM) for virtual turbine representation.
The overarching aims of my research are twofold:
- To improve reduced-order methods for computationally tractable large-scale simulations
- To use these methods to better understand complex offshore wind phenomena, including wake recovery, wake dynamics and meandering, and momentum transport in complex atmospheric boundary layer conditions
Alongside my research, I have a strong interest in parallel computing and scientific software development. I enjoy developing efficient, scalable code using frameworks such as OpenMPI, OpenMP, and CUDA/HIP. I am also a strong advocate for open-source software, reproducible research, and leveraging modern computing architectures to accelerate scientific discovery.
Before starting my PhD, I completed an MMathPhys in Mathematics and Physics at the University of Manchester. During my studies, I developed a broad interest in areas such as nonlinear dynamics, fluid mechanics, and scientific computing, alongside topics ranging from general relativity to mathematical biology. Between Manchester and Oxford, I spent six months in Glasgow as part of my Centre for Doctoral Training (CDT), where I studied various aspects of offshore and marine energy engineering.
Research Interests
- High Performance Computing (HPC)
- Fluid Dynamics and its applications in energy systems
- Numerical Methods and Simulation
- Parallel and Distributed Computing
- Scientific Software Development
Qualifications
DPhil, Wind & Marine Energy Systems & Structures University of Oxford (2023–Present)
MMathPhys, Mathematics & Physics University of Manchester (2019–2023)