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Evan Hann

DPhil Student

Research

• Conduct research alongside clinician-scientists to improve clinical processes and patient outcomes
• Automate large-scale anonymised image data analysis for the UK Biobank Imaging Component (100,000 participants)
• Design novel data-efficient AI/machine learning quality control framework to safeguard automated analysis and to provide actionable insights for human-in-the-loop workflow
• Implement fully convolutional neural networks in Python, Tensorflow, Keras
• Attend and present at top clinical and technical conferences (SCMR, MICCAI, ISBI)
• Patent research output in collaboration with Oxford University Innovation
• Funded by Clarendon Fund Scholarship and Radcliffe Department of Medicine Scholar Programme
• Research and travel awards from BHF, SCMR, MICCAI, etc