Advanced Care Research Centre

The Team: Enhancing the Data Infrastructure

Meet the Team: Workpackage Three

Workpackage Lead - Honghan Wu

Honghan Wu - Headshot

Honghan Wu jointly leads the Clinical NLP Group at the University of Edinburgh. Dr Wu is a Lecturer in Health Informatics at UCL, London and a Rutherford Research  Fellow doing clinical data science in Usher Institute, University of Edinburgh.

Find out more about Honghan Wu on their profile page

Workpackage Lead - Beatrice Alex

Beatrice Alex - Headshot

Beatrice Alex jointly leads the Clinical NLP Group at the University of Edinburgh. Dr Alex is a Chancellor’s Fellow at the Edinburgh Futures Institute and Turing Fellow at the Alan Turing Institute and the School of Informatics at the University of Edinburgh.

Find out more about Beatrice Alex on their profile page

Research Fellow​ - Huayu Zhang

Huayu Zhang photo

Huayu Zhang is a Research Fellow for ACRC. He has background of both clinical data science and biomedical sciences. His research focus on the application of knowledge graph in biomedical knowledge integration and prediction. He is also interested in integration of computable knowledge into predictive modelling. 

Find out more about Huayu on their profile page

Data Loch Resource - Sophie McCall

sophie McCall photo

Sophie McCall is a Data Analyst within DataLoch, having previously worked as an Information Analyst within Outpatients Redesign team in NHS Lothian. She has experience of working with laboratory data having worked as a Biomedical Scientist specialising in Transfusion Science, as well as Pharmacovigilance and Drug Safety.

Research Fellow - Víctor Suárez Paniagua

Víctor Suárez Paniagua photo

Víctor Suárez Paniagua is a Research Fellow funded by the Health Data Research UK in the Centre for Medical Informatics, Usher Institute of the University of Edinburgh. His research is on machine learning, with an emphasis on deep learning, for natural language processing in order to extract relevant information from medical documents accurately.

Learn more about this project