Can Peng is a Postdoctoral Researcher in the Noble Group at the Institute of Biomedical Engineering, University of Oxford. Her research focuses on developing adaptive and trustworthy AI systems, with particular interests in continual learning, federated and privacy-preserving learning, and their applications to medical imaging.

Before joining Oxford, Can was a CERC Postdoctoral Fellow at CSIRO Data61 in Australia, where she worked on continual learning and robust visual recognition for robotic perception. She received her PhD from the University of Queensland, where her research focused on incremental object detection and data-efficient visual recognition.