Jack Johnson

After graduating with a BSc in Physics from the University of Birmingham, I worked as a Nuclear Medicine Physics Technician for University Hospitals of Leicester NHS Trust. Here, alongside my clinical duties, I conducted research into the application of neural networks in kidney function estimation, with my abstract "Exploration of a Neural Network Approach to Glomerular Filtration Rate Estimation" winning the Young Investigators Scientific Prize at the British Nuclear Medicine Society Spring Meeting in 2024. 

I went on to complete a MSc in Medical Physics with Radiobiology at the University of Oxford, completing my research project on deep learning model fusion strategies for automatic tumour lesion segmentation in PET/CT and winning the Course Prize for best overall performance in my cohort.  

I am now studying for a DPhil in Biomedical Data Science (Clinical Medicine) under the supervision of Dr Tingyan Wang. My research focuses on early prediction of liver cirrhosis and its complications using multimodal AI.

Outside of research, I am a keen long-distance runner and have been awarded full blues in cross country and athletics at Oxford.