Team Lead
Dr Honghan Wu is an associate professor at Institute of Health Informatics, UCL and holds a Rutherford personal fellowship funded by Medical Research Council/Health Data Research UK. He is a Turing Fellow of The Alan Turing Institute, UK's national institute for data science and artificial intelligence. Dr Wu holds a PhD in Computing Science. His current research interest is in using text technologies and Knowledge Graph techniques to analyse health data. He co-leads Edinburgh Clinical NLP group. He also serves as an editorial board member of these journals: BMC Digital Health, BMC Medical Informatics and Decision Making and Scientific Reports. For PhD opportunities, please check his UCL webpage.
Postdoctoral Researcher
Dr Huayu Zhang is a Research Fellow based in Centre for Medical Informatics, Usher Institute at the University of Edinburgh. He is working on network analysis and knowledge graph techniques for gene prioritisation.
drawing Postdoctoral Researcher
Dr Minhong Wang is a Research Fellow at Institute of Health Informatics, UCL. Her research interests include applying machine learning, deep learning and natural language processing in healthcare. Currently she is working on ontology learning and automated triage using GP referrals.
drawing Research Associate
Aneeta Sylolypavan is a part-time research associate based at University of Edinburgh. Aneeta works on evaluating disparities between clinicians in labelling data for training machine learning models, particularly in the context of decision making supports within Intensive Care Units.
drawing Research Associate
Rowena Smith is a part-time clinical research associate based at University of Edinburgh. Rowena works on a project studying the associations between childhood adverse events and later life mental disorders. This project uses linked health datasets in Scotland including free-text clinical notes from both primary care and secondary care.

PhD Students

Charlotte is based in Usher Institute, University of Edinburgh. She studies antidepressant and antipsychotic drug prescribing in people with diabetes.
Farah Francis is based at Usher Institute, University of Edinburgh. She works on machine learning methods for detecting and predicting fetal hypoxia.
Jinge is based at the Institute of Health Informatics, UCL. She will start with us in January 2022, working on neural-symbolic and knowledge graph methods for modelling human diseases and predicting prognosis.

MSc Students