I am currently a PhD student at UCL in medical physics. My PhD focuses in particular on respiratory motion correction (with the incorporation of motion models) for PET. During my time as a PhD student I have also had an interest in surrogate signal extraction (specifically for dynamic PET) which lead to an exploration of machine learning/neural networks in general. I've applied machine learning to the fields of denoising, reconstruction and more recently arterial input function estimation.While studying for my PhD I undertook roles at the university teaching electronics, programming and communication. I specifically lead lectures for groups of approximately 200 students teaching the fundamentals of programming.Previously I had studied at the University of Hull for an MSc and BSc in computer science. Here I had a particular interest in computer vision, compiler design and embedded programming. Larger projects I undertook included, a motion correction method for PET which used a Microsoft Kinect camera to track the patient as well as an online mobile based game which saw players physically running around cities cutting each others paths off, a la Tron.While studying for my MSc and BSc I undertook roles at the university which saw me performing research to produce a cave scanning device and an autonomous remote controlled car. The cave scanning device consisted of a 3D printed custom mounted LiDAR atop a drone, which could fly into a cave which the LiDAR would scan. Furthermore I also taught classes on embedded and distributed programming.