Dr Le Zhang is an Assistant Professor at the School of Engineering, College of Engineering and Physical Sciences in the University of Birmingham. He was a Postdoctoral Researcher at the University of Oxford from 2022. Prior to then, he was a Research Fellow at University College London from 2019 working with Professor Daniel Alexander. Under the supervision of Professor Alejandro F Frangi, he obtained his PhD in Medical Image Computing from the University of Sheffield in 2019.
His research is focusing on computational modelling, pattern recognition, and machine learning for biomedical imaging and data analysis. His research aims to add understanding and capability in biomedicine by drawing on ideas from medical imaging, computer vision, data science, and machine learning. Much of his work focusses on Cardiac Magnetic Resonance Image Analysis, Multi-Modality Neuroimage Analysis, and Retinal Fundus Image Analysis. His research has been published in top conferences and journals in the fields of machine learning and medical image analysis, including NeurIPS, MICCAI, Medical Image Analysis and Patten Recognition, and nominated for the MICCAI Young Scientist Award in 2019.