My research interests lie in the application of mathematical modelling and statistical methods to biological and chemical problems. In collaboration with the Analytical and Atmospheric Chemistry Groups, we are developing chemometric techniques for the handling and processing of the very large data sets obtained by -omic techniques. Current projects include the integration of data from different technologies (transcriptomic, proteomic and metabolomic data) and data fusion methods to combine data sets from multiple analytical techniques (e.g. LC-MS and NMR). Through a well-established collaboration with the Food and Environment Research Agency (FERA), we have been developing methods for discriminative analysis in the search for biomarkers for disease, the detection of contaminants, and to monitor genetic modification.

My research interests lie in the application of mathematical modelling and statistical methods to biological and chemical problems. In collaboration with the Analytical and Atmospheric Chemistry Groups, we are developing chemometric techniques for the handling and processing of the very large data sets obtained by -omic techniques. Current projects include the integration of data from different technologies (transcriptomic, proteomic and metabolomic data) and data fusion methods to combine data sets from multiple analytical techniques (e.g. LC-MS and NMR). Through a well-established collaboration with the Food and Environment Research Agency (FERA), we have been developing methods for discriminative analysis in the search for biomarkers for disease, the detection of contaminants, and to monitor genetic modification.