
MPhys Physics student (predicted First Class Honours) with a strong interest in computational particle physics and simulation-based research. Experienced in developing and analysing numerical models of complex physical systems, with particular focus on stability, performance, and physical accuracy. Motivated to apply mathematical and programming skills within high-energy physics environments where computational efficiency and rigorous modelling are essential.
Developed and optimised N-body numerical simulation of planetary ring systems in C++, modelling gravitational interactions between thousands of particles. Identified and resolved long-term numerical instability by implementing an improved time-stepping scheme, enabling stable simulations over extended durations without significant computational overhead. Produced interactive visual outputs to support multidisciplinary research collaboration, including user-friendly camera settings made for presenting simulation to groups.
Programming:
Python (NumPy, SciPy, Pandas), C, numerical simulation, debugging, and optimisation
Physics & Mathematics:
Classical mechanics, gravitational dynamics, introductory relativistic mechanics, differential & integral calculus, numerical solution of coupled ODEs
Simulation & Analysis:
N-body modelling, stability analysis, performance benchmarking, data analysis, scientific visualisation
Research & Collaboration:
Technical documentation, comparative method evaluation, collaborative problem-solving