Passionate about building ethical, interpretable AI to support healthcare and conservation.
I'll be graduating from Heriot-Watt University with a degree in Computer Science with Artificial Intelligence next month. I'm passionate about using AI to support healthcare and environmental conservation, with a focus on ethical and interpretable machine learning.
My strengths lie in developing robust AI models for image classification, working with real-world datasets, and applying explainable AI techniques, such as Grad-CAM, to support transparency and trust. I enjoy combining technical depth with meaningful impact, whether it's analysing medical imaging data, building tools that support biodiversity monitoring, or applying statistical learning in interdisciplinary contexts.
I also have experience with deep learning frameworks like TensorFlow, cross-validation techniques, model evaluation, and developing end-to-end research pipelines in Python.
I'm currently applying for a Master's in Artificial Intelligence for 2025–26, with the long-term goal of progressing into a PhD. Right now, I'm open to full-time or part-time work over the summer, and part-time roles alongside my studies next year if my application is successful. I'm especially interested in roles related to ethical AI, research, or applied machine learning that align with my values and interests.
My final year dissertation. A deep learning pipeline using DenseNet121, ECSA and Self-Attention to classify protein aggregates associated with ALS (a neurodegenerative disease). Evaluated with Grad-CAM and XAI metrics for interpretability and cross-class analysis.
View Project →A deep learning classification system for identifying garden birds from camera footage. Built using EfficientNetB7 with transfer learning and TensorFlow, and trained on a dataset augmented with flipping, rotation, brightness and contrast adjustments. Deployed on a Raspberry Pi.
View Project →Created lessons aimed at Second-Year high school pupils about AI & Data Science. Successfully delivered the first lesson at Falkirk High School.
View Project →A responsive personal portfolio built using HTML, CSS, and JavaScript to showcase my background, projects, and skills. It features scroll animations, contact form integration, and a clean layout optimised for both desktop and mobile.
View Project →Feel free to reach out to me to ask about my projects, collaboration opportunities, job inquiries, or anything else!