Group
I'm privileged to have, or have had, some kind of supervisory role in the following scientists' careers. In mathematics, people work more independently than the lab-based sciences, but the slightly inappropriate term 'Group' seems to have stuck.
If you'd like to work with me at any career stage, please get in touch to discuss scientific and funding possibilities. You'll see that 'alumni' generally got to do interesting and worthwhile research and then go on to get good jobs in academia, the public sector, and industry.
Postdoctoral
Roberto Cahuantzi, working on classification of SARS-CoV-2 lineages in collaboration with Katrina Lythgoe, Ian Hall, and Lorenzo Pellis.
Feng Xu, working on an age-structured population model of the COVID-19 pandemic in the UK including explicit representation of hospitals and care homes, in collaboration with Jackie Cassell, Jo Middleton, Ian Hall, and Lorenzo Pellis.
Postgraduate
Joe Brooks, working on household models. Main supervisor Lorenzo Pellis.
Joe Flannagan, working on infection in care homes. Main supervisor Ian Hall co-supervised by Lorenzo Pellis and Maria Zambon.
Irene Garcia Munoz, working on infection in care homes. Main supervisor Ian Hall co-supervised by Lorenzo Pellis and Maria Zambon.
Fadilah Ilahi, working on modelling dengue. Co-supervised by Ian Hall.
Mwandida Afuleni, working on COVID in Malawi. Main supervisor Olatunji Johnson, co-supervised by Ian Hall.
Bunlang Thatchai, working on social networks dynamically generated by games and epidemics. Co-supervised by Chris Overton.
Former
Claire Little, working on predicting chronic pain using statistical learning. Main supervisor John Mcbeth. Co-supervised by Will Dixon and David Schultz. Destination: Return to teaching mathematics in secondary education.
Martyn Fyles, working on networks and statistical learning for infections. Funded by the Alan Turing Institute. Co-supervised by Ian Hall and Lorenzo Pellis. Destination: Working at the UK Health Security Agency.
Alex Koch, working on the circadian clock and FCS data. Main supervisor Andrew Loudon. Co-supervised by Korbinian Strimmer.
Luke Webb, working on models of emergency response capacity. Main supervisor Ian Hall; co-supervised by Paul Dark.
Bindu Vekaria, working on flexible clinical predictive models in collaboration with Spectra Analytics. Main supervisor Glen Martin; co-supervised by Pauline Turnbull.
Xiaoxi Pang, working on influenza. Main supervisor Ian Hall. Co-supervised by Yang Han. Destination: Postdoc at Nottingham.
Hugo Lewkowicz, working on transmission in close contact settings and rapid diagnostics, MRC iCase with Danaher. Main supervisor Ian Hall. Co-supervised by Lorenzo Pellis and Andy Ustianowski. Destination: Working for Government.
Heather Riley, working on household inference for the ONS COVID-19 Infection Survey. Destination: Permanent job at the University of York.
Jacob Curran-Sebastian, working on modelling and inference for combatting antimicrobial resistance. Main supervisor Ian Hall. Co-supervised by Lorenzo Pellis. Destination: Postdoc in Denmark.
Rajenki Das, working on mood-pain endotype discovery in mHealth data with Microsoft Research. Co-supervised by Mark Lunt and Mark Muldoon. Destination: Postdoc in Cambridge.
Miguel Silva, working on health information diffusion in social networks, main supervisor Caroline Jay Destination: Postdoc in Portugal.
Francesca Scarabel, working on models of epidemics with continuous representation of immune competence in collaboration with Ian Hall, and Lorenzo Pellis, as well as other members of the supporting JUNIPER Consortium. Destination: Lectureship at The University of Leeds.
Jack McKenzie, working on recommender systems, PhD funded by Autotrader, co-supervised by Neil Walton. Destination: Working for Huawei Technologies Research & Development.
Filippo Pagani, working on MCMC, main supervisor Simon Cotter. Destination: Postdoctoral position at the MRC Biostatistics Unit in Cambridge.
Tim Kinyanjui, working on robust mathematical modelling of Household Epidemics. Destination: Working for Peak AI.
Alex Bishop, working on macroparasitic infections, main supervisor Deirdre Hollingsworth. Destination: Working for Nesta.
Liz Buckingham-Jeffery, working on real-time methods in mathematical epidemiology and modelling cancer radiotherapy. Destination: post-doc at the University of Manchester with Lorenzo Pellis, then working for Highways England.
Ed Hill working on influenza, co-supervised by Mike Tildesley. Destination: post-doc at the University of Warwick.
Rob Eyre, working on health networks in a resource-poor setting, main supervisor Frances Griffiths. Destination: working for Spectra Analytics.
Lorenzo Pellis, postdoc on various aspects of mathematical epidemiology. Destination: Wellcome Trust personal fellowship, and Reader at the University of Manchester.
Matt Graham, PhD on network epidemiology. Destination: post-doc at Johns Hopkins.
Dan Sprague, PhD on modelling health behaviours, co-supervised by Gareth Roberts. Destination: founding Spectra Analytics.
Ashley Ford, post-doc on geometric and gradient-based MCMC for shedding data and epidemics. Destination: post-doc at University of Bristol.
Sam Bilson, post-doc on geometric MCMC for shedding data. Destination: Visiting Lecturer at St Mary's, then tech industry.
Sam Mason, MRes on MCMC for 1918 Influenza, co-supervised by Matt Keeling. Destination: PhD at Warwick Systems Biology.