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Senior Researcher in Statistical Genetics and Pathogen Dynamics

Chris Wymant

Chris Wymant

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.

Before COVID-19 I 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. Further explanations are in my teaching materials (and the publications of course).

Since January 2020 I've mostly been working 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.

 

* this link provides access to the only publication that's not open acces: Jean & Wymant, Science 2019, on academic institutional policy for flying.

Recent publications

More publications