Zahra Vahdat

This study examines how C. glutamicum cells respond to pH stress by tracking cell size and survival, revealing stochastic and heritable differences in acid and alkaline stress survival.

The paper shows that noise in gene expression can differ between single-cell and population perspectives, with population-level noise being higher in some cases due to cell cycle dynamics and feedback loops.

The paper analyzes transcriptional bursting in Drosophila embryos to understand how spatial gene expression patterns are established despite variability in transcriptional activity.

The paper develops a model to infer presynaptic parameters from quantal content statistics in neuronal synapses using electrophysiological data from mice.

The paper develops a mechanistic model of neurotransmitter dynamics in synapses, showing feedback and feedforward regulation can amplify or buffer noise and lead to band-pass filtering.

The paper combines mathematical modeling and experimental analysis to show that bacterial cell division is based on surface area, not size, leading to stable colony growth.

This paper models autaptic feedback in neurons to show how it can enhance the precision of action potential firing times through noise reduction mechanisms.

This paper models neurotransmitter release and postsynaptic action potential firing using a stochastic hybrid system, showing how stochasticity affects transmission precision and frequency limits.

This study quantifies information transfer fidelity in gene expression models, showing transcriptional control has higher capacity than translational control, and feedback reduces overall capacity.

The paper models neurotransmitter release dynamics using a stochastic hybrid system to analyze noise characteristics in synaptic transmission.