Welcome! Nigel is a Principal Research Associate in the Department of Theoretical and Applied Linguistics (DTAL) at the University of Cambridge as well as a Visiting Scientist at the European Bioinformatics Institute (EMBL-EBI). Prior to this he was a FP7 Marie Curie fellow on the PhenoMiner project at EMBL-EBI and Associate Professor at the National Institute of Informatics in Tokyo where he led the Natural Language Processing laboratory. He obtained his PhD in computational linguistics at UMIST in 1996 for his research into the application of neural networks for machine translation
Nigel’s broad area of research is in Natural Language Processing. He is currently funded by a 1 million 5-year EPSRC fellowship grant to investigate the Semantic Interpretation of Personal Health messages on the Web (SIPHS) project. This is an international collaborative effort to leverage social media data for digital disease applications such as detecting infectious disease outbreaks and adverse drug reaction.
His research interests bring together computational techniques such as machine learning, syntactic parsing and concept understanding with the aim of providing a machine-understandable semantic representation of text. This is used to support real-world tasks, e.g. question answering and knowledge discovery from very large scale data sources such as the World Wide Web. He has published over 100 peer-reviewed papers with >3000 citations and a h-index >27 by Google Scholar.
Nigel is a senior member of the Association for Computing Machinery (1996 - present), a member of the Association for Computational Linguistics (1996 - present), and a member of the EPSRC Peer Review College (2015- present). Previously (2007 - 2012) he has served as technology consultant on the international Global Health Security Action Group technical working group on Risk Management and Communication.