I use a novel combination of experimental, mathematical and bioinformatic techniques to investigate cell-mediated immunity. My aim is to develop a predictive mathematical model of the human in vivo CD8+ T cell response in order to prevent and alleviate viral infection.
Members of the GrouP
Ulrich Kadolsky (email@example.com)
Aidan Macnamara (firstname.lastname@example.org)
Sukhdeep Singh (email@example.com)
My initial training was in theoretical physics. I have a BSc in Physics (1st class hons. University College London), an MSc in Mathematics (distinction, Imperial College London) and a PhD in Theoretical Particle Physics (title: "Non Commutative Geometry", University of Durham). I then worked as a mathematical modeller for the UK government for 2 years before crossing disciplines to Mathematical Immunology. I held a Wellcome Trust Fellowship at Imperial College London and then a Leverhulme Trust Fellowship at the University of Oxford before returning to Imperial as a lecturer.
For research interests and selected publications please see my group webpage.
Funded PhD positions available:
Please contact me if you wish to discuss these opportunities further.
Asquith B, de Boer RJ, 2017, How lymphocytes add up, Nature Immunology, Vol:18, ISSN:1529-2908, Pages:12-13
Macallan DC, Borghans JA, Asquith B, 2017, Human T Cell Memory: A Dynamic View., Vaccines (basel), Vol:5
et al., 2016, Human Stem Cell-like Memory T Cells Are Maintained in a State of Dynamic Flux, Cell Reports, Vol:17, ISSN:2211-1247, Pages:2811-2818
et al., 2016, BIITE: A Tool to Determine HLA Class II Epitopes from T Cell ELISpot Data, Plos Computational Biology, Vol:12, ISSN:1553-734X
et al., 2016, Human neutrophil kinetics: modeling of stable isotope labeling data supports short blood neutrophil half-lives, Blood, Vol:127, ISSN:0006-4971, Pages:3431-3438