With a background in Mechanical Engineering from the University of Edinburgh, I joined the Data School because I was drawn to the combination of technical problem-solving and client-facing consulting.
Throughout my degree, I particularly enjoyed analytical projects, including my dissertation on crowd flow dynamics, where I investigated how movement patterns differ between panic and non-panic situations. This experience strengthened my interest in using data to understand complex problems and support informed decision-making.
Outside of work, I enjoy staying active through sport and hiking, as well as spending time socialising with friends. I enjoy tackling new challenges, whether that's exploring the outdoors or developing new technical skills.