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Dr. Bing Wang

Research Fellow in Informatics

Specialisms

  • Natural Language Processing, 
  • Graph Neural Network, 
  • Multimodal Machine Learning, 
  • Digital Health

Location

Whiteknights Campus

Bing Wang is an informatics research fellow and machine learning engineer in the Informatics Research Centre at Henley Business School with expertise in Natural Language Processing, Graph Neural Network, and Multimodal Machine Learning

Bing has been working as a Data Scientist at the Royal Berkshire Hospital since December 2019 and at Oxford University Hospitals since February 2024. His research focuses on applying Artificial Intelligence, particularly Natural Language Processing, Multimodal Machine Learning, and Graph Machine Learning, to tackle real-world challenges in healthcare and public health. He is dedicated to developing AI-driven solutions that support clinical decision-making, improve patient outcomes, and enhance the efficiency of healthcare delivery, while ensuring these systems remain equitable, transparent, and fair.
Beyond healthcare, he is also interested in broader applications of machine learning across domains such as finance, economics, management, climate change, and air pollution. His goal is to leverage advanced machine learning techniques to address interdisciplinary problems, contributing both theoretical insights and practical solutions across these fields.

Reference: Wang, B. , Li, W. , Bradlow, A., Watt, A., Chan, A. T. Y. and Bazuaye, E. (2025) Multi-stage multimodal fusion network with language models and uncertainty evaluation for early risk stratification in rheumatic and musculoskeletal diseases. Information Fusion, 120. 103068. ISSN 15662535 doi: 10.1016/j.inffus.2025.103068
Henley faculty authors:
Dr. Bing Wang - Professor Weizi (Vicky) Li
Reference: Wang, B. , Li, W. , Bradlow, A., Chan, A. T. Y. and Bazuaye, E. (2024) Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records. In: The 57th Hawaii International Conference on System Sciences, 3-6 Jan 2024, Hawaii, pp. 3416-3424.
Henley faculty authors:
Dr. Bing Wang - Professor Weizi (Vicky) Li
Reference: Li, X., Huang, D., Dong, G. and Wang, B. (2024) Why consumers have impulsive purchase behavior in live streaming: the role of the streamer. BMC psychology, 12 (1). 129. ISSN 2050-7283 doi: 10.1186/s40359-024-01632-w
Henley faculty authors:
Dr. Bing Wang
Reference: Wang, B. , Li, W. , Bradlow, A., Bazuaye, E. and Chan, A. T. Y. (2023) Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning. Decision Support Systems, 166. 113899. ISSN 0167-9236 doi: 10.1016/j.dss.2022.113899
Henley faculty authors:
Dr. Bing Wang - Professor Weizi (Vicky) Li
Reference: Yuan, Y., Zhang, X., Zhao, J., Shen, F. , Nie, D., Wang, B. , Wang, L., Xing, M. and Hegglin, M. I. (2023) Characteristics, health risks, and premature mortality attributable to ambient air pollutants in four functional areas in Jining, China. Frontiers in Public Health, 11. 1075262. ISSN 2296-2565 doi: 10.3389/fpubh.2023.1075262
Henley faculty authors:
Dr. Bing Wang
Reference: Shen, F. , Hegglin, M. I. , Luo, Y., Yuan, Y., Wang, B. , Flemming, J., Wang, J., Zhang, Y., Chen, M., Yang, Q. and Ge, X. (2022) Disentangling drivers of air pollutants and health risks change during the COVID-19 lockdown in China. npj Climate and Atmospheric Science, 5 (1). 54. ISSN 2397-3722 doi: 10.1038/s41612-022-00276-0
Henley faculty authors:
Dr. Bing Wang
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