Giacomo Fabrini

This paper introduces deep mechanistic models to analyze mammary MAPK signaling heterogeneity, showing that most variation comes from pathway-extrinsic factors rather than core pathway components.

This paper designs and expresses non-natural membrane-less RNA organelles in E. coli, enabling algorithmic control over interactions and condensate structure.

This study identifies a reversible basal-like cell state in AKT-inhibitor resistant triple negative breast cancer using multimodal profiling and lineage tracing.

This paper introduces a platform for engineering synthetic RNA condensates that can form programmable organelles with controlled properties.

This paper designs orthogonal RNA condensates using modular RNA motifs and demonstrates their ability to recruit proteins and form in living cells.