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.
et al., 2020, CD57+ memory T cells proliferate in vivo, Cell Reports, Vol:33, ISSN:2211-1247, Pages:e1-e5
et al., 2020, The relative contributions of infectious and mitotic spread to HTLV-1 persistence, Plos Computational Biology, Vol:16, ISSN:1553-734X
et al., 2020, The rules of human T cell fate in vivo, Frontiers in Immunology, Vol:11, ISSN:1664-3224
et al., 2020, Identifying the immune interactions underlying HLA class I disease associations, Elife, Vol:9, ISSN:2050-084X, Pages:1-43
Macallan D, Busch R, Asquith B, 2019, Current estimates of T cell kinetics in humans, Current Opinion in Systems Biology, Vol:18, ISSN:2452-3100, Pages:77-86