I am a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering at The University of Hong Kong (HKU). I develop artificial intelligence methods for medical imaging, with the goal of translating computational advances into clinically relevant tools for diagnosis, quantitative assessment, and precision medicine.

My research lies at the intersection of artificial intelligence, medical image computing, and computational imaging. Broadly, I work in three connected areas: AI for computational and quantitative imaging, robust image analysis and biomarker extraction for disease assessment, and multimodal clinical AI that integrates imaging with broader clinical and health-related data. Across these areas, I am particularly interested in building trustworthy and practical methods that remain effective under real clinical constraints, including limited scan time, motion, heterogeneous image quality, and incomplete data.

Before joining HKU, I was a Postdoctoral Research Fellow at the Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School (HMS), and Massachusetts General Hospital (MGH), where I worked with Prof. Fang Liu. Prior to that, I was a Postdoctoral Research Fellow in the CU Lab of AI in Radiology (CLAIR), within the Department of Imaging and Interventional Radiology at The Chinese University of Hong Kong (CUHK), where I worked with Prof. Weitian Chen. Before my Ph.D., I worked as a Research Assistant in Prof. Xiaogang Wang’s MMLab in the Department of Electronic Engineering at CUHK. These experiences have allowed me to work across radiology, computer science, and electrical and computer engineering, and to contribute to both methodological innovation and clinically oriented translational research.

I received my Ph.D. in Imaging and Interventional Radiology from CUHK under the supervision of Prof. Simon Chun Ho Yu and Prof. Lin Shi. I also hold an M.Sc. in Computer Science from CUHK and a Bachelor’s degree in Instrument Science and Technology from Shanghai Jiao Tong University (SJTU).

My broader goal is to build an interdisciplinary and externally fundable research programme in AI for medical imaging and precision medicine, integrating methodological development, translational collaboration, and mentorship.

Research Areas

Artificial intelligence in medicine, computational imaging, medical image reconstruction, quantitative imaging, image analysis, imaging biomarkers, trustworthy AI, multimodal clinical learning, and precision medicine.

Latest News

• 2026: Our work on domain-conditioned and temporal-guided diffusion modeling for accelerated dynamic MRI reconstruction was published in NMR in Biomedicine.
• 2026: Our U.S. patent on consistency-aware multi-prior MRI reconstruction was issued.