I am working with data from the Electronic Nose, using the "smell" of biological samples (blood, breath, stool, etc) to classify diseased from healthy patients. My research is to develop machine learning algorithms to get the most from this data, utilising our prior knowledge of the machine and the problem to produce novel statistical/machine learning tools.
I am interested in job opportunities (academic and non-academic); my CV is available here.
- Arasaradnam, Ramesh P., McFarlane, M., Ling, K., Wurie, S., O'Connell, N., Nwokolo, Chuka U., Bardhan, Karna Dev, Skinner, J., Savage, Richard S., Covington, James A.. 2016. Breathomics-exhaled volatile organic compound analysis to detect hepatic encephalopathy : a pilot study. Journal of Breath Research
- Sahota, Amandip S., Gowda, Ravi, Arasaradnam, Ramesh P., Daulton, Emma, Savage, Richard S., Skinner, Jim R., Adams, Emily, Ward, Stephen A., Covington, James A.. 2016. A simple breath test for tuberculosis using ion mobility : a pilot study. Tuberculosis.
- Arasaradnam, Ramesh P., McFarlane, Michael J., Daulton, Emma, Skinner, Jim, O'Connell, Nicola, Wurie, Subiatu, Chambers, Samantha, Nwokolo, Chuka U., Bardhan, Karna Dev, Savage, Richard S., Covington, James A.. 2016. Non-invasive exhaled volatile organic biomarker analysis to detect inflammatory bowel disease (IBD). Digestive and Liver Disease.
stpca: PPCA with a prior on the covariance structure. Reports a Gaussian posterior instead of a point estimate.
gpclassifier: A simple S4 Gaussian Process Classifier package for R.