Daniel Soria

I joined the University of Kent in September 2019. Previsouly I was a Senior Lecturer at the University of Westminster in London (2016-2019), and an Assistant Professor at the University of Nottingham (2013-2016). I have a PhD in Computer Science from the University of Nottingham sponsored by the Marie-Curie PhD studentships under the EU Framework Programme 6 (2010). I also did my post-doc at Nottingham (2010-2013), working in the Advanced Data Analysis Centre on several projects funded by various Councils (EPSRC, MRC, EU, etc.). My background is in Mathematics (BSc+MSc Laurea, 2004).

Daniel belongs to the following research groups:

• Artificial Intelligence and Data Science Group

His research interests lay in the multi-disciplinary area of applied computer science for real-word applications, especially in biomedical domains. He has expertise in data mining and machine learning applications, from pattern identification to supervised learning. His contributions to knowledge appeared to be of great interest in October 2013, when part of his work on breast cancer was the subject of extensive national media coverage (see, for example, BBC News, ITV, Sky News), and more recently during the Brexit referendum campaign, when a case study from his research was published as part of the Universities for Europe manifesto.

Daniel currently working on two KTP projects funded by InnovateUK, where we use machine learning modelling and data analytics to:

- enable a more effective delivery of primary healthcare provision in one of the biggest NHS providers of primary care in the UK;

- match candidates to roles within recruitment, so that candidates can understand their progress towards and likelihood of achieving their next job.

He has published numerous articles in high quality international peer-reviewed journals such as Knowledge-Based Systems, Artificial Intelligence in Medicine, and IEEE Transactions in Medical Imaging. The multidisciplinary nature of his research allowed him to also publish in prestigious medical journals like Cancer Research, Breast Cancer Research and Treatment, British Journal of Cancer, and others. His research has also appeared in international conference proceedings and he has been a member of the technical program committee for several conferences.

Daniel teaches on a range of Computing modules

Fellow of the Higher Education Academy.