Emily Chan is a postdoctoral researcher at the Institute of Machine Learning for Biomedical Imaging at Helmholtz Munich. She received her PhD in 2022 from King’s College London, where she worked on utilising classical machine learning and deep learning techniques with limited and imbalanced data for MR liver imaging, in collaboration with Perspectum. She is particularly interested in the automation of various clinically-relevant tasks in radiology, with her research at the IML focusing on deep learning for the early diagnosis and prognosis of Alzheimer’s disease.

  • Medical image computing
  • Transfer learning
  • Multi-modal learning
  • PhD in Biomedical Engineering, 2022

    King's College London

  • MEng in Biomedical Engineering, 2016

    Imperial College London