Caroline Colijn's group builds mathematical tools for infectious disease genomics, ecology and epidemiology
Marc Deisenroth and Michael Sternberg apply machine learning to study protein docking
Gilestro's laboratory uses a combination of genetics and ethomics to understand how the brain regulates behaviour, with a particular focus on how and why we sleep.
Clive Hoggart measures of genetic association with white cell count at the acute stage of meningococcal infection
Mark Isalan’s group studies the behaviour of small and large gene networks with a view to being able to re-engineer them predictably.
Lo Celso's group explores the mechanisms regulating haematopoietic stem cell function during steady state and in leukaemia development.
Stephen Muggleton is collaborating with Syngenta to use machine learning to generate food-webs from ecological data
Masahiro Ono’s group uses data analytic approaches and new molecular methods to understand in vivo dynamics of T cell differentiation
Michael Sternberg’s group predict protein structure to understand disease association genetic variants
Michael Stumpf and Maggie Dallman study the innate immune response to wounding in zebrafish
The Biological Physics group of Robert Endres works on collective cell behaviour