Professor Goran Nenadic

Goran Nenadic

Former position

Turing Fellow

Partner Institution

Bio

Goran is a Professor of Computer Science at the University of Manchester. He received a BSc and MPhil in Computer Science and Mathematics from the University of Belgrade in 1993 and 1997 respectively, and a PhD in Computer Science from the University of Salford in 2003. Prior to his appointment to a lectureship in Manchester, he was a researcher at universities in Belgrade, Salford and UMIST. Goran leads the UK healthcare text analytics network (Healtex) and is the founding Editor-in-Chief of Journal of Biomedical Semantics.

Research interests

Goran's research focuses on making sense of large-scale free-text data by combing rule-based and data-intensive approaches. His work mainly aims at engineering deep features to train machine learning algorithms to process free-text documents in a variety of domains, including healthcare, biotechnology, legal text, veterinary sciences, social media and scientific literature. He works with a number of hospitals, charities and industry on unlocking evidence contained in clinical narrative and healthcare social media, and has taken part in major international clinical text mining challenges. His current foci are on temporal clinical information extraction and anonymisation of clinical free-text data.

Goran has also worked on extraction and curation of biomedical information from the literature in the variety of domains, including information presented in tabular (semi-structured) forms. Finally, he is also interested in integrative data analytics that combines multi-modal data streams to uncover new patterns (specifically combining complementary structured and unstructured data).