My research interests include artificial intelligence and data science, with applications in biology, business, engineering and healthcare. In collaboration with many talented researchers in academia and industry, I have published more than 300 papers, with over 200 in journals including Artificial Intelligence, Neural Networks, Pattern Recognition, Genome Biology, ACM and IEEE Transactions. My work has been in part funded by UK research councils, EU, charities and industry, and currently I am a member of two EC H2020 innovative manufacturing teams working on Z-BRE4K (2017-21; 6M) and INTEGRADDE (2018-22; 12.7M).

I founded the International Symposium on Intelligent Data Analysis (see IDA-95 & IDA-97), and gave keynote addresses at international conferences in computing, data science, pattern recognition, and statistics. I advised RCUK on data analytics, genomics and security, and the Royal Statistical Society / the Institute and Faculty of Actuaries on statistical education at UK schools in light of big data. I served on grant/fellowship panels of RCUK (e.g. BBSRC, EPSRC and NERC), and during 2015-16, I was on the international panel to assess the quality of computer science research between 2009 and 2014 in the Netherlands.

I have been named as a Highly Cited Researcher annually since 2014 [by Thomson Reuters 2014-15, and Clarivate Analytics 2016-18], based on the number of Highly Cited Papers indexed in the Web of Science during the preceding 11-years. Highly Cited Papers are defined as those that rank in the top 1% by citations for field and publication year in the Web of Science.