Dr. Chen Qin is an Associate Professor in Computer Vision and Machine Learning at Department of Electrical and Electronic Engineering and I-X, Imperial College London. Previously, she was a Lecturer at School of Engineering, University of Edinburgh from July 2020 to September 2022. She obtained her Ph.D. in Computing Research from Imperial College London in January 2020, and M.Sc. in Control Science and Engineering from Department of Automation, Tsinghua University in July 2015. Before moving to University of Edinburgh, she has worked as a post-doctoral research associate at Department of Computing, Imperial College London, where she has worked on deep learning-based MRI reconstruction, image registration and segmentation for enhancing the entire medical imaging pipeline. Her pioneering work on convolutional recurrent neural networks for MRI reconstruction has been highly and widely recognised by international leading groups from both academia and industry. Overall, she has published more than 70 papers in top-tier peer-reviewed engineering and medical imaging journals and conference proceedings. She has served as an area chair for MICCAI 2022-24 and a member of organising and programme committee at several international workshops, e.g., CMRxRecon 2023/24 and UNSURE 2022-24. She also serves as an Associate Editor for SPIE Journal of Medical Imaging and Journal of Pattern Recognition. Her current research mainly focuses on generative models for inverse problems and multi-modal representation learning, with applications in medical image computing.

For further information, please also look at my personal webpage (https://cq615.github.io/).

I am looking for highly motivated PhD students to work on machine learning for medical image computing. Studentship is available for early 2025 entry. Please feel free to get in touch.