Daniel is a molecular epidemiologist specialising in the use of data science for the analysis of large whole genome sequence datasets. He is also a trained molecular biologist and has laboratory experience in the development and validation of diagnostic tests, vaccine design, genomics and proteomics.
Much of Daniel’s current focus is on genomic epidemiology projects involving bacterial and protozoan pathogens. His work includes using high-throughput computational tools, such as Python and R, for the monitoring of antibiotic resistance, the development of genomic typing systems, and targeted diagnostic and vaccine design.
He has published articles in international journals including the Journal of Biological Chemistry, mBio, Infection Genetics and Evolution, Parasites & Vectors, Open Biology, Parasites & Vectors, the Journal of Proteome Research and the Journal of Clinical Microbiology.