|Honghan Wu | 吴鸿汉
Department of Biostatistics and Health Informatics
King’s College London
- (5th July 2017) Our data harmonisation and search toolkit for EHR – CogStack is mentioned in Annual Report of the Chief Medical Officer 2016 by the UK Government.
- (3rd July 2017) Chandra gave a great presentation at Digital Health Conference 2017 (London) about our paper: Improving RNN with Attention and Embedding for Adverse Drug Reactions.
- (14 June 2017) Our paper describing psycho-evn corpus has been accepted by IJCAI’17 – KDH workshop (The 2nd International Workshop on Knowledge Discovery in Healthcare Data). Congratulations to Hui Wang and Quan Sun – the first two authors who are MSc students at King’s.
I am working on
- KG4Core – a knowledge graph infrastructure for supporting bioinformatics research, which integrates structured background knowledge (e.g., drug bank, uniprot, sider), electronic health records (e.g., CRIS data), and Linked Data(e.g., linked life data).
- EBEncoding – efficient bitwise encoding for temporal/longitudinal (medical) data analytics – particularly on Adverse Drug Event analytics on CRIS data.
- NapEasy – automated PDF highlighting tool to support faster curation of case studies and reviews on Parkinson’s and Alzheimer’s disease.
Short Bio Dr Honghan Wu is a data scientist in Department of Biostatistics and Health Informatics of King’s College London. His current research focus is on annotating, analysing and searching large scale healthcare data by utilising Semantic Web and Knowledge Graph techniques. Before current post, Dr Wu got two Marie Curie Fellowships in two EU IAPP projects of K-Drive (in Aberdeen University, UK) and TEAM (in ELIKO, Estonia). He holds a PhD in computer science from the Southeast University. Dr Wu’s expertise is on dealing with huge volume and heterogeneous Semantic Web data, including combining information retrieval and data mining techniques with semantic technologies, including semantic search, summarisation and compression of RDF data, as well as query generation and query answering.