I hold an integrated Master’s degree in Aerospace Engineering from the University of Bristol, where I studied aerodynamic modelling, wind turbine fundamentals, and general engineering. After completing my degree, I joined the IDCORE programme (Industrial Doctoral Centre for Offshore Renewable Energy), where the first year provided focused training on the challenges and principles of both onshore and offshore wind turbines.
My expertise in machine learning was developed during an internship at the UKRI Node for Trustworthy Autonomous Vehicles, where I worked on controller strategies for drones operating in high-disturbance environments using reinforcement learning. Since June 2025, I’ve been working in partnership with Wood Group, applying machine learning models to wind energy challenges. My current research includes developing and integrating an ice loss model for pre-construction yield assessments, as well as applying machine learning to wind energy forecasting and failure detection.
Outside of engineering, I’m deeply passionate about marine biology and ocean ecosystems. I nurture this interest by reading scientific literature, watching documentaries, and immersing myself – quite literally – through scuba and free diving, including along the rugged coastlines of Scotland where I live.
