Andre Brown’s group analyses worm tracks to reveal genes that effect behaviour and the mechanisms of neuroactive drugs
Chiu Fan Lee’s group uses a non-equilibrium phase separation model to explain how ATP-depletion can trigger stress granule formation
Marc Deisenroth and Michael Sternberg apply machine learning to study protein docking
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.
Myrsini Kaforou applies machine learning and AI techniques to analyse host "-omic" data to aid disease diagnosis and understanding
Reiko Tanaka's group develops mathematical models and engineering tools for personalised medicine
Michael Sternberg’s group predict protein structure to understand disease association genetic variants
The Biological Physics group of Robert Endres works on collective cell behaviour