I read Physics at Oxford and after graduating worked for some years as a Patent Examiner at the European Patent Office before returning to academia in the UK. My PhD and early career was in applied spectroscopy (infrared, Raman) and the design of novel sensors at the Quadram Institute (formerly the Institute of Food Research).

Subsequently I focused on quantitative analysis of spectral data and the emerging discipline of chemometrics – a branch of statistics especially useful for handling the large datasets produced by modern analytical techniques. Applications of these methods have included food authentication issues: detection of adulteration in edible oils, processed fruits, meat and dairy products, coffee. Many of these are featured in a UEA MOOC on food fraud.

The arrival of ‘omics technologies in recent years has opened up new opportunities. My interests have expanded to include the application of multivariate statistics to other high-dimensional data types. These include a wider range of spectral data, especially those used in metabolomics (NMR, GC-, LC-MS). I also have an interest in electromyography and digital signal processing. Most recently, my research has concentrated on the handling of data collected using the emerging technology of “benchtop” (low-field) NMR spectroscopy.

I am author or co-author of around 80 peer-reviewed articles, and have received grant funding from many different bodies including BBSRC, EPSRC, UKRC, MAFF, DEFRA-LINK and InnovateUK. I also work with industry via confidential consultancies arranged through QIB Extra Ltd.

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