Dr. Tao Wang is currently a Research Fellow at King’s College London (KCL). From 2015 to 2018, he received a full scholarship from the UK's Economic and Social Research Council (ESRC) to pursue his PhD at the University of Southampton and The Alan Turing Institute, with an exchange period at the University of Western Australia. Since 2019, he has been affiliated with KCL’s Institute of Psychiatry, Psychology, and Neuroscience (IoPPN). He also holds honorary research positions at several leading UK hospitals and serves as a member of King's AI Institute, and Meta/Facebook's Global Safety Policy Advisory Board on mental health.

Dr. Wang's research focuses on the development of Natural Language Processing (NLP), Network Sciene, Multimodal Data Modelling and Artificial Intelligence (AI) technologies, and their applications in healthcare, public health, sociology, and law. He has led three research projects and contributed to six others, funded by The Alan Turing Institute, IoPPN, and the Maudsley Biomedical Research Centre. Additionally, he has been involved in several ESRC, EPSRC, and Innovate UK-funded projects. He has published over 45 papers, with more than 1,000 citations on Google Scholar, including two papers recognized by Health Data Research UK as “high impact.”

Moreover, projects led by Dr. Wang have been successfully implemented in major UK hospitals, and his team has received five prestigious healthcare awards, including the HSJ “Best Mental Health Partnership” and the HETT “Best Data Innovation Award.” Dr. Wang has been the recipient of numerous prestigious awards, including The Alan Turing Fellowship, the Maudsley Biomedical Research Centre Chair’s Award, the IoPPN Early Career Researcher Award, as well as recognition as an Excellent Graduate of Guangdong Province, the Chinese National Scholarship Award, and the Tencent Top Scholarship Award.

Feel free to email me if you're interested in my work or potential collaboration includig PhD application.

• Health Data Science
• Natural Language Processing
• Computational Social Science 
• Multimodal Data Modeling
• Knowledge Graph
• Causal Inference
• Explainable Artificial Intelligence