Investigators

Summary

We use live-cell experiments and mathematical models to understand how single cells process information in inflammatory diseases and cancer. To decide between irreversible cell fates such as growth, differentiation or death, cells process information about their environment through a network of molecular circuits. Our research combines principles of systems and synthetic biology with large-scale data to understand how information flows through these circuits. By observing input-output relationships in the same cell using microfluidics, live-cell dynamics and single-molecule microscopy, we aim to decode the ‘language’ of signaling dynamics and develop mathematical models of information flow with single-cell resolution. Our ultimate goal is to understand how population-level responses emerge from single-cell heterogeneity and to rationally manipulate cell fate decisions in disease.