معرفی
Wenjia Bai is a Senior Lecturer in Artificial Intelligence in Medicine at Imperial College London, jointly appointed in the Department of Computing and the Department of Brain Sciences. She leads the Medical Vision group at the Data Science Institute and is a faculty member of the Biomedical Image Analysis (BioMedIA) Group. Prior to her current role, she held a Lectureship position from 2018 and became Senior Lecturer in 2022. Bai has a B.Eng and M.Eng in Automation from Tsinghua University (Distinction) and a D.Phil in Engineering Sciences from the University of Oxford, supervised by Prof. Sir Michael Brady. She previously collaborated with Prof. Daniel Rueckert before her lectureship.
Education:
- B.Eng in Automation, Tsinghua University
- M.Eng in Automation, Tsinghua University
- D.Phil in Engineering Sciences, University of Oxford
Research Interests:
Bai's work focuses on advancing artificial intelligence and machine learning in medical imaging, particularly in cardiac and neurological applications. She develops algorithms for automated segmentation, motion analysis, and generative models to uncover disease mechanisms and improve clinical decision support. Her research also integrates genomics with imaging phenotypes to identify genetic determinants of cardiovascular and neurological disorders. She emphasizes open science, contributing to datasets like CMRxRecon2024 and deploying tools for large-scale studies such as the UK Biobank.
Articles Trends:
Her recent work highlights contributions to medical vision-language models, universal learning frameworks for cardiac reconstruction, and unsupervised clustering techniques for urban development analysis. She bridges AI with cardiology and neurology, addressing challenges in limited data scenarios and enhancing diagnostic accuracy through multimodal integration.
Scientific Awards:
- Best Paper Award for Journal of Cardiovascular Magnetic Resonance (2018)
- Imperial College President’s Award for Outstanding Research Team (2019)
- Dudley Pennell Prize (2022)
Advising & Grants:
Bai advises PhD student Doga, whose work culminated in a successful viva. She leads grants as Principal Investigator for EPSRC, BHF New Horizon, and NIHR pilot projects. As a research stream leader in the SmartHeart programme (2016–2021) and co-investigator in CVD-Net (2024–2029), she drives cardiovascular research initiatives. Additionally, she serves on grant panels for Heart Research UK and the Multiple Sclerosis Society.
Labs & Teams:
She is affiliated with the Biomedical Image Analysis (BioMedIA) Group and leads the Medical Vision group within the Data Science Institute, fostering interdisciplinary collaboration in medical AI and imaging.
