Professor Honghan Wu

  • Professor of Health Informatics and AI (Public Health)


I am a Professor of Health Informatics and AI at the School of Health and Wellbeing, University of Glasgow. Before my current position, I was an associate professor at the Institute of Health Informatics (2020 May - 2024 April), UCL. I current hold an honorary associate professor position at UCL, continuing my research projects and supervisions. I am a former (2020-2023) Turing Fellow of The Alan Turing Institute and a Rutherford Fellow (2018-2022) of the Health Data Research UK. I got my BEng and PhD degrees from Southeast University, China. I worked in the industry for about six years primarily as a software developer before my PhD study.

My research lab website is at, I also co-lead the Edinburgh Clinical Natural Language Processing group: and co-organise the Turing Health Equity group:

Research interests

Machine learning, natural language processing, knowledge graph and their applications in medicine. Details of my research and team updates can be found at


Prior publications


Whitfield E, Coffey C, Zhang H, Shi T, Wu X, Li Q, Wu H, (2021) Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes. AMIA ... Annual Symposium proceedings. AMIA Symposium (pmid: 35308999)(pmc: PMC8861682); source: Europe PubMed Central

Kuang X, Cheung JP, Wu H, Dokos S, Zhang T, (2020) MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (pmid: 33018308)(doi: 10.1109/embc44109.2020.9175987); source: Europe PubMed Central

Bendayan, R., Wu, H., Kraljevic, Z., Stewart, R., Searle, T., Chaturvedi, J., Das-Munshi, J., Ibrahim, Z., Mascio, A., Roberts, A., Bean, D., Dobson, R., (2020) Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR arXiv (doi: 10.48550/arxiv.2002.08901)(eid: 2-s2.0-85171036145)(issn: 23318422); source: Scopus - Elsevier

Wu H, Hodgson K, Dyson S, Morley KI, Ibrahim ZM, Iqbal E, Stewart R, Dobson RJ, Sudlow C, (2019) Efficient Reuse of Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: A Phenotype Embedding Approach. JMIR medical informatics (pmid: 31845899)(pmc: PMC6938594)(doi: 10.2196/14782); source: Europe PubMed Central

(2019) Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches (arxiv: arXiv:1903.03985v2)(doi: 10.48550/arxiv.1903.03985)(eid: 2-s2.0-85170726104)(issn: 23318422); source: Honghan Wu

Wu, H., Hodgson, K., Dyson, S., Morley, K.I., Ibrahim, Z.M., Iqbal, E., Stewart, R., Dobson, R.J.B., Sudlow, C., (2019) Efficiently Reusing Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: Methodology Study arXiv (doi: 10.48550/arxiv.1903.03995)(eid: 2-s2.0-85169963298)(issn: 23318422); source: Scopus - Elsevier

Bach, K., Bunescu, R., Farri, O., Guo, A., Hasan, S., Ibrahim, Z., Marling, C., Raffa, J., Rubin, J., Wu, H., (2018) Preface: The 3rd international workshop on Knowledge Discovery in Healthcare Data (KDH) CEUR Workshop Proceedings (eid: 2-s2.0-85051034726)(issn: 16130073); source: Scopus - Elsevier

Ibrahim, Z., Wu, H., Bach, K., Dobson, R., Denaxas, S., Wiratunga, N., Massie, S., Sani, S., (2017) Preface: The 2nd International Workshop on Knowledge Discovery in Healthcare Data (KDH) CEUR Workshop Proceedings (eid: 2-s2.0-85029108383)(issn: 16130073); source: Scopus - Elsevier

Wang, H., Sun, Q., Oellrich, A., Wu, H., Dobson, R., (2017) The psycho-ENV corpus: Research articles annotated for knowledge discovery on correlating mental diseases and environmental factors CEUR Workshop Proceedings (eid: 2-s2.0-85029066847)(issn: 16130073); source: Scopus - Elsevier

Jeff Z. Pan, José Manuel Gómez Pérez, Yuan Ren, Honghan Wu, Haofen Wang, Man Zhu, (2015) Graph Pattern Based RDF Data Compression Semantic Technology (doi: 10.1007/978-3-319-15615-6_18); source: Crossref Metadata Search

Wu, H., Villazon-Terrazas, B., Pan, J.Z., Gomez-Perez, J.M., (2014) How redundant is it?-An empirical analysis on linked datasets CEUR Workshop Proceedings (eid: 2-s2.0-84908691394); source: Scopus - Elsevier

Jeff Z. Pan, Yuan Ren, Honghan Wu, Man Zhu, (2013) Query generation for semantic datasets Proceedings of the seventh international conference on Knowledge capture - K-CAP '13 (doi: 10.1145/2479832.2479859); source: Crossref Metadata Search

Wu, H., Qu, Y., Li, H., (2010) Searching semantic web documents based on RDF sentences Jisuanji Yanjiu yu Fazhan/Computer Research and Development (eid: 2-s2.0-77950556598); source: Scopus - Elsevier

Cheng, G., Wu, H., Ge, W., Qu, Y., (2008) Searching Semantic Web objects based on class hierarchies CEUR Workshop Proceedings (eid: 2-s2.0-84885222384); source: Scopus - Elsevier

Hu, W., Zhao, Y., Li, D., Cheng, G., Wu, H., Qu, Y., (2007) Falcon-AO: Results for OAEI 2007 CEUR Workshop Proceedings (eid: 2-s2.0-84868527756); source: Scopus - Elsevier

Professional activities & recognition

Research fellowships

  • 2018 - 2022: Health Data Research UK

Editorial boards

  • 2021: BMC Medical Informatics and Decision Making
  • 2022: BMC Digital Health

Professional & learned societies

  • 2020 - 2023: Turing Fellow, Alan Turing Institute