Computer science & big data
With the explosion of techniques that explore entire systems and our ability to gather data at an unprecedented scale, whether it’s the transcriptome, proteome or metabolome of a single cell or tissue, mapping of the entire individual’s immune system or entire population dynamics (whether mosquito or human), computational scientists, modellers and mathematicians will collaborate with disease and pathogen biologists, chemists and environmental scientists to bring order to the complexity of infection by numbers.
Our computer science & big data champions
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Dr Becca Asquith
Research interests
A novel combination of mathematical, experimental and bioinformatics techniques to investigate cell-mediated immunity and host-pathogen dynamics, particularly in the context of chronic viral infections. Developing a predictive model of the human CD8+ T cell response to understand and alleviate viral infection.
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Professor Mauricio Barahona
Research interests
Biomathematics, a field dedicated to the use of applied mathematics to questions of biological, physical and engineering systems and used as a predictive tool for the assessment of disease - in particular, the predictive assessment of biomarkers in the context of infection and precision healthcare provision.
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Dr Lauren Cator
Research interests
Using laboratory and field experiments to understand mosquito behavioural ecology in order to improve the control of the diseases they transmit. Current work focuses on behavioural aspects of reproduction, host-parasite interactions, and the response of mosquito populations to land-use change.
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Professor Faith Osier
Research interests
Vaccine development, with a particular emphasis on malaria. The group uses a myriad of immunological tools for understanding the immuno-epidemiological and immunological characteristics of blood-stage malaria infection and the future development of an anti-disease blood-stage vaccine.
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Professor Vincent Savolainen
Research interests
Combining field ecology, molecular phylogenetics, and population genomic approaches to address key societal challenges, from explaining the origin of biodiversity to its preservation. Focusing on population sensing of SARS-CoV-2 viral RNA in sewage, wildlife and the environment for monitoring the pandemic.
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Professor Ed Tate
Research interests
The interface between organic chemistry, life sciences and medicine, and using chemical biology and proteomics to understand and manipulate living systems. A key focus is in medicinal chemistry and chemical synthesis of proteins and peptides, including their use to combat infection.