Personal webpage: Colin Campbell
Room 2.39, Merchant Venturer's Building,
University of Bristol,
Bristol BS8 1UB,
Tel: +44 (0)117-33-15620
Fax: +44 (0)117-954-5208 (attn: Colin Campbell (EMAT))
I gained a First Class Honours degree in Physics from Imperial College, London and a Doctorate from the Department of Mathematics, King's College, London, under the supervision of Prof. Peter West FRS. I am currently a Reader in the Merchant Venturer's School of Engineering, University of Bristol. For research purposes our group is a component part of the Intelligent Systems Laboratory at the University of Bristol, of which I'm currently Head. For teaching purposes I am associated with the Department of Engineering Mathematics. My research interests are machine learning, including probabilistic graphical models and kernel-based methods, algorithm design and the applications of machine learning techniques in bioinformatics, particularly medical bioinformatics. Our research is currently funded by the generous support of the the EPSRC and the Medical Research Council.
Recent Preprints and Journal Papers
- Hashem Shihab, Mark Rogers, Julian Gough, Matthew Mort, David Cooper, Ian Day, Tom Gaunt and Colin Campbell. An Integrative Approach to Predicting the Functional Effects of Non-Coding and Coding Sequence Variation Bioinformatics doi: 10.1093/bioinformatics/btv009 (2015). Supplementary information and website for the coding/non-coding predictor. This integrative predictor estimates if sequence variants in the human genome are likely functional in disease. The predictor outputs a confidence label associated with the prediction and it gives predictions for sequence variants in both the coding and non-coding regions of the human genome.
- Jose Seoane, Colin Campbell, Ian Day, Juan Casas, Tom Gaunt. Canonical correlation analysis for gene-based pleiotropy discovery. PLOS Computational Biology DOI: 10.1371/journal.pcbi.1003876. Vol. 10, issue 10, e1003876 (2014).
- M. Rogers, C. Campbell and Y. Ying. Probabilistic inference of biological networks via data integration BioMed Research International Article ID 707453 (2014).
- Jose Seoane, Ian Day, Tom Gaunt and Colin Campbell. A pathway-based data integration framework for prediction of disease progression. Bioinformatics (2014) 30 (6): 838-845.
- Carlos Fernandez-Lozano, Jose Seoane, Marcos Gestal, Tom Gaunt, Julian Dorado and Colin Campbell. Texture classification using feature selection and kernel based techniques Soft Computing 10.1007/s00500-014-1573-5 (2015).
Recent book:Learning with Support Vector Machines by Colin Campbell and Yiming Ying (Morgan and Claypool, 2011). This is a concise introduction to Support Vector Machines and kernel-based learning. It is available as an ebook from Morgan and Claypool or as hardcopy from Amazon or Waterstones. Introductory Lectures on Support Vector Machines, from the 6th International Summer School on Pattern Recognition, provide a shortened summary of some of the content of this book.
PhD funding for projects in our areas of interest is available from a number of sources:
- The EPSRC-supported Bristol Centre for Complexity Sciences. This centre supports multi-disciplinary research with 10 PhD studentships currently available per annum. The research student has a supervisor in a mathematically or computationally oriented discipline, such as machine learning, and a co-supervisor in a life-sciences oriented discipline.
- The MRC-supported Bristol Centre for Systems Biomedicine (BCSBmed) with 5 studentships available per annum. This initiative supports PhD projects in bioinformatics and cancer informatics in addition to other research topics.
- Departmental Training Awards (DTAs).
- In addition there are further Bristol university scholarships for both UK/EU candidates and overseas (non-UK and non-EU) candidates.
- Occasionally we also have EPSRC project studentships which are open to nationals of any country and are linked to a specific project.
Postdoctoral Opportunities:For very well qualified candidates we support applications for Fellowship awards from a variety of research sponsors.
Previous Group Members:Dr. Yiming Ying is now Assistant Professor at the University of Exeter, United Kingdom. Dr. Kaizhu Huang is now Associate Professor at the National Laboratory of Pattern Recognition, The Chinese Academy of Sciences, Beijing, China. UK-based academic staff who are alumni of the group include Prof. Nello Cristianini (University of Bristol), Dr. Simon Rogers (University of Glasgow) and Prof. Stephen Coombes (University of Nottingham).
Past Workshops organised:
h-index of 30 (Google Scholar citations).