I am the Professor of Applied Statistics in the Department of Statistics at the University of Oxford. I am also Professor of Statistical Epidemiology in the Department of Infectious Disease Epidemiology at Imperial College London. At Imperial I am also Associate Director of the MRC Centre for Global Infectious Disease Analysis and Deputy...
The RainDrop Experiment
How can we predict the future of grassland ecosystems? What's it like to be an ecologist working in the field?
My research centres around how to monitor penguins and other marine predators in difficult environments such as Antarctica. Many of the most important environments on the planet are too data deficient to understand the changes occurring there, and the implications for global change, which in turn stalls effective management. I spend a lot of...
I am a population ecologist. I was born and raised in Spain, where I attended the University of Cadiz for my BSc in Environmental Sciences. Further academic education took me to the UK for my MSc and the USA for my PhD, in addition to postdocs in Germany and Australia. My fascination for science started by studying succulent desert plants. I’ve...
How tricky is it to make a COVID-19 tracing app?
As we search for a way out of the global coronavirus crisis, there’s been plenty of discussion surrounding a potential COVID-19 tracing app. Many of us carry a mobile phone with us wherever we go, so it seems logical to use this pre-existing infrastructure in the transition towards a ‘new normal’. But how tricky is it to make such an app? What’...
How is technology being used to track Black Lives Matter protestors?
We've probably all heard the phrase 'Big Brother is watching you' (a reference to the fictional character in George Orwell's dystopian novel '1984') - but are we really under constant surveillance? Is it actually possible to be a fully functioning member of modern society without being tracked by some sort of surveillance system? And how is...
Understanding COVID-19 transmission, informing control
Tackling a previously unseen pathogen - like the one that causes COVID-19 - is like piecing together a puzzle. There are many different parameters to investigate before the pathogen can be fully understood, and before effective control measures can be put in place. So how do scientists go about solving the puzzle, and why is modelling so...
I’m a mathematician who applies maths to cancer and medicine – I didn’t even realise that existed when I was at school! I studied Maths and Philosophy at the University of Southampton and became interested in applied maths there, but I always thought that “applying maths” to real world problems meant “doing some sort of physics”.
An interactive simulation and videos of the Spanish Flu Pandemic of 1918-19 that killed over 50 million people
Follow the link below to access an interative simulation of the spread of Spanish Flu, alongside various teaching resources - a great way to learn about the importance of disease modelling.