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Background: Bachelor of Engineering (Mechanical) (Hons) specialising in biotechnology. Computer-aided design, genomics, programming, machine learning and image processing. Undergraduate thesis: Automated biomedical assessment of in-vivo tissues using optical coherence tomography and machine learning. Current Research: The immune system remains the most formidable barrier to surgical implantation and has effective mechanisms to combat foreign agents. My research investigates how micro scale geometric features can control vascular tissue engineering and immune interactions. This is vital in creating more physiologically comparable melt-electrowritten (MEW) grafts with a decreased likelihood of adverse events. This work includes single-cell imaging and computational modelling for optimisation of scaffold structure and quantitative investigation of geometric features on cell development and immune response. Interests: Swimming, tennis, cooking, pop culture and gaming.