Senior Researcher in Statistical Genetics and Pathogen Dynamics
After a PhD and some postdoctoral research in theoretical particle physics, I joined the group of Christophe Fraser, at Imperial College London 2014-2016, and at the Big Data Institute since. I do quantitative research on the evolutionary epidemiology of viruses: how they spread, how they change, and how they damage our health.
My publications are here*. Teaching material I've written is here.
Throughout 2020 and 2021 I mostly worked on COVID-19, in particular using mathematical and statistical modelling to understand how helpful digital contact tracing (using mobile phone apps) is. We first proposed using this new public health intervention for COVID-19 here and first evaluated its effect on slowing viral spread here. Read more about our group's COVID-19 work here.
Otherwise I've mostly worked on the BEEHIVE project: analysing HIV genetic data, together with clinical data about the individuals with those viruses, to better understand how the virus affects infection severity. With Christophe and François Blanquart I discovered the VB variant of HIV. I wrote the tools shiver for reconstructing HIV (and other viral) genomes from short pieces of DNA, and phyloscanner (with Matthew Hall and Christophe) for analysing within- and between-host pathogen genetic diversity. I've helped a little in BEEHIVE's sister projects PANGEA and AMPHEUS. Further explanations of this work are in my teaching materials (and the publications of course).
If you're not a robot, please email me at chris wymant bdi ox ac uk, replacing those five spaces with . @ . . . respectively
* this link provides access to the only publication that's not open acces: Jean & Wymant, Science 2019, on academic institutional policy for flying.
A highly virulent variant of HIV-1 circulating in the Netherlands.
Wymant C. et al, (2022), Science (New York, N.Y.), 375, 540 - 545
OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing.
Hinch R. et al, (2021), PLoS computational biology, 17
The epidemiological impact of the NHS COVID-19 app.
Wymant C. et al, (2021), Nature, 594, 408 - 412
Time to evaluate COVID-19 contact-tracing apps.
Colizza V. et al, (2021), Nat Med, 27, 361 - 362
Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis.
Kendall M. et al, (2020), The Lancet. Digital health, 2, e658 - e666