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Aya Zeidan

Aya graduated with an MEng degree in Biomedical Engineering from King’s College London in 2021. During her time as an undergraduate student, she partook in research in the fields of fetal and cardiac imaging. For her MEng research project, she conducted computational simulations and employed Machine Learning methods to predict optimal catheter ablation strategies for the treatment of atrial fibrillation. This was followed by a summer internship where she developed a physics-informed neural network to explore the role of the left atrial appendage in thrombus formation during atrial fibrillation. In her final year, she specialised in the field of medical robotics, which led her to pursue a PhD in surgical robotics.


Aya’s PhD project focuses on the development of a robotic system to assist cardiologists in performing the transseptal puncture in left atrial catheter ablation for atrial fibrillation.



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