BSc MSc DPhil
University Research Lecturer | Senior Bioinformatician
Daniel has both a wet-laboratory and bioinformatics background, his main research interests relate to the analysis of contemporary, high-dimensional datasets (e.g. genomic, transcriptomic, proteomic) to elucidate the molecular determinants of vaccine responses.
UTILISING THE SYSTEMS TOOLKIT TO ELUCIDATE THE MECHANISMS UNDERLYING RESPONSES TO INFANT IMMUNISATION
Vaccine responses and the persistence of vaccine-immunity vary considerably between individuals, this is particularly relevant in childhood, as infants generally have lower magnitude immune responses that wane more rapidly than adults. My research utilises contemporary methods, such as genome-wide genotyping and next-generation sequencing, to explore the mechanisms underlying immunological and physiological responses to childhood vaccinations.
RNA2HLA: HLA-based quality control of RNA-seq datasets
Chelysheva I. et al, (2021), Briefings in bioinformatics
A blood atlas of COVID-19 defines hallmarks of disease severity and specificity
Ahern DJ. et al, (2021)
Symptom study app provides real-world data on COVID-19 vaccines
Drury RE. and O'Connor D., (2021), The lancet infectious diseases
Identification of novel locus associated with coronary artery aneurysms and validation of loci for susceptibility to Kawasaki disease.
Hoggart C. et al, (2021), Eur j hum genet