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Computational Biology
Applying computational techniques to better understand biological phenomena across scales. -
Graph Theory
Utilising networks and their characteristics to efficiently model real-world problems. -
Single / Multi-objective Optimisation
Efficiently finding good solutions to problems with one or more objectives, often borrowing concepts from natural systems.
Research Interests:
Projects:
Education:
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MEng Computer Science, Durham University, Oct. 2021 - June 2025
First class degree with honours. Master's Project: The Multi-weight s-Circuit Problem: an Application to Route Generation; supervised by Prof. Iain Stewart.
Experience and Employment:
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Ciliated Tissue Research with the Boselli Lab, Durham University Biophysical Sciences Institute, 10/06/2024 - 10/08/2024
Supported by the Royal Microscopical Society and BSI summer studentships, and supervised by Dr. Francesco Boselli. I created CiliaSim, an intuitive and extensible Voronoi tissue model designed to simulate aperiodic ciliated tissues. -
Computer Science Demonstrator, Durham University Department of Computer Science, Oct. 2023 - May 2025
I taught Data Science (probability, data cleaning and analytics, image processing and computer graphics) and Programming (git version control and web development).
Personal Interests:
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Competitive Judoka - 2024/2025 Durham University Judo Club Men's Captain - BUCS 2024/2025 2nd place - invited to the European University Games 2025.
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Long Distance Hiker - Cambrian Way 2022 - GR20 2024 - West Highland Way 2025 - Hadrian's Wall 2025.