Rate My Professor Zion Tse

Zion Tse is a Professor in AI and Robotics in the School of Engineering and Materials Science at Queen Mary University of London, where he serves as Director of the Centre for Bioengineering. An Academy of Medical Sciences Professor and Royal Society Wolfson Fellow, he earned his PhD in Medical Robotics from Imperial College London. His career trajectory includes prior appointments as Chair Professor of Medical Robotics at the University of York, Associate Professor and Associate Centre Director at the University of Georgia, USA, research fellow at Harvard University in Boston, and research fellow at the National Institutes of Health in Bethesda, Maryland. Professionally qualified as a Chartered Engineer (CEng), he is a Fellow of the Institute of Physics and Engineering in Medicine (FIPEM), the Institution of Engineering and Technology (FIET), and the Institution of Mechanical Engineers (FIMechE), as well as a Senior Member of the Institute of Electrical and Electronics Engineers (SMIEEE).

Professor Tse's research centers on digital health, smart wearables, surgical robotics, AI medical imaging, computer-aided diagnosis, medical robotics, and AI healthcare technologies. He has pioneered medical devices and systems tested in clinical patient trials, bridging engineering and medicine via multidisciplinary collaborations. Authoring over 160 peer-reviewed journal papers and delivering 110 conference presentations, his contributions have attracted substantial funding, including £7,066,811 from the Engineering and Physical Sciences Research Council for the Centre for Doctoral Training in Next Generation Organ-on-a-Chip Technology, grants from the National Institutes of Health, National Institute for Health Research, British Heart Foundation, Barts and the London Charity, and a £497,258 Academy of Medical Sciences Professorship. Tse holds influential roles as a member of the Medical Research Council Developmental Pathway Funding Scheme Board, panelist on the Department for Science, Innovation and Technology Regulatory Horizons Council AI Panel and UKRI Interdisciplinary Assessment College, and General Chair of BioMedEng24, advancing precise diagnostics and personalized treatments.