Emma is a computational systems biologist who enjoys working in multi-disciplinary research teams. During her Ph.D. research, she studied noisy gene expression networks to investigate the implications of cell-to-cell variability on cellular fitness through a combination of experimental (single-cell) analysis and mathematical modelling. Her work in the Huck group is focused on designing mathematical models to investigate how signalling networks respond to external stimuli, and the analysis of multi-omics single-cell data. Outside of work, Emma is a keen cyclist and loves to learn new skills.
Welcome Emma to the group!