Lucy Ham

The paper investigates how molecular noise affects transition paths between cell-fate valleys in non-equilibrium systems, showing that stochastic dynamics produce paths distinct from deterministic models.

The paper develops a mathematical framework showing intercellular signaling stabilizes cell fate and tissue patterning by suppressing spontaneous switching and inducing coordinated behaviors.

The paper uses topology to analyze the protein universe, identifying structural and functional features and their implications for mutations and evolution.

The paper compares deterministic and stochastic models of cellular event timing, showing significant differences in predicted trigger times under certain conditions.

This paper introduces an extrinsic chemical Langevin equation to model biochemical systems with both intrinsic and extrinsic noise, showing improved computational efficiency while maintaining accuracy.

The paper examines how stochastic fluctuations affect the reconstruction of the Waddington epigenetic landscape and the identifiability of regulatory dynamics from single-cell transcriptomic data.

This paper introduces solvable stochastic models of gene expression that account for multiple states and factors affecting transcript abundance, enabling analytical and computational solutions for gene regulation.

This study derives analytical solutions for gene expression models to show that heavy-tailed RNA copy number distributions arise from extrinsic noise, not intrinsic stochasticity.