Profile

I am a PhD researcher at Swansea University, funded by the Engineering and Physical Sciences Research Council (EPSRC). My work centres on understanding human networks of attention and investigating how they may be used to inspire more effective machine attention mechanisms. My primary focus is on the broader principles of human attention, how we prioritise and process information, and applying these to develop advanced machine learning algorithms capable of selecting and emphasising relevant data in complex settings.

My current research involves working with Vision Transformers (ViT) and electrocardiogram (ECG) data. I aim to leverage these technologies to further explore the intersections between human and machine attention. By employing state-of-the-art machine learning models and integrating insights from biological attention, I aim to not only improve current diagnostic algorithms but also enrich the clinical diagnostic experience.

Area of Expertise

  • The intersection between Human & Machine attention
  • Medical machine diagnosis
  • Application and context extraction of vision transformers
  • Eye-tracking as a medium for human attention

Projects

  • Machine Networks of Attention from Human Networks of Attention

    Machine Networks of Attention from Human Networks of Attention

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    Project Overview The addition of ‘attention’ to machine learning has recently improved many algorithms with the potential to transform a wide range of machine learning approaches (transformers, perceivers). Attention, simply, allows an algorithm to allocate more weight to input that is relevant for certain tasks, and less weight to the irrelevant. We propose that attention…

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