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 (firstname.lastname@example.org)
Aidan Macnamara (email@example.com)
Sukhdeep Singh (firstname.lastname@example.org)
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
et al., 2017, HIV-1 adaptation to NK cell-mediated immune pressure, Plos Pathogens, Vol:13, ISSN:1553-7366
et al., 2017, Physiologically Based simulations of Deuterated glucose for Quantifying cell Turnover in humans, Frontiers in Immunology, Vol:8, ISSN:1664-3224
Macallan DC, Borghans JAM, Asquith B, 2017, Human T Cell Memory: A Dynamic View, Vaccines, Vol:5, ISSN:2076-393X
et al., 2017, The fate and lifespan of human monocyte subsets in steady state and systemic inflammation, Journal of Experimental Medicine, Vol:214, ISSN:0022-1007, Pages:1913-1923