Scholar
Shuo Wang
Google Scholar ID: mAhTSxcAAAAJ
Fudan University
Citations & Impact
Citations
1,960
H-index
25
i10-index
40
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published numerous papers in various fields including heart failure treatment, uncertainty-aware weakly supervised semantic segmentation, endoscopy, AI-based ECG, epicardial patches, generative cardiac modeling, and more. These papers have been published in top international journals such as ESC Heart Failure, IEEE Transactions on Multimedia, Nature Biomedical Engineering, etc. Organized several academic conferences and special issues.
Research Experience
- Worked as a Research Associate at the Data Science Institute, Imperial College London (2019-2021) and the Centre for Mathematical Sciences, University of Cambridge (2018-2019).
Education
- PhD in Radiology from the University of Cambridge (2018); BSc in Theoretical and Applied Mechanics from Fudan University (2014).
Background
- Currently a Young Principal Investigator (Associate Professor) at the Digital Medical Research Center, School of Basic Medical Sciences, Fudan University. Also an Honorary Senior Research Fellow at the Data Science Institute, Imperial College London. His research interests lie at the intersection of healthcare big data and cybernetic modeling of biological systems, particularly in developing large-scale, multi-modal digital twins across scales. The core objective is to translate cutting-edge AI methodologies into practical tools that advance our understanding of human health and ultimately optimize patient care.
