Bio
Dr. Ziyang Wang is a researcher in Data-Centric Engineering at The Alan Turing Institute. He completed his DPhil in Computer Science at the University of Oxford in 2024, where his research focused on training AI models for medical image analysis with unreliable data. In 2018, he earned an MRes with distinction from Imperial College London, where he worked on medical robotics.
Research interests
Ziyang’s research interests include developing AI models focused on practical and challenging data scenarios. His current research topics involve large vision models, human-AI interaction, multi-modal data, and multi-rater learning. His previous work around AI for healthcare, including image segmentation, detection, registration, depth estimation, pose estimation, medical robotics, iOS development, and self-/semi-/weak-/noise-robust supervised learning for AI training.