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.
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
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
Asquith B, de Boer RJ, 2017, How lymphocytes add up, Nature Immunology, Vol:18, ISSN:1529-2908, Pages:12-13