Kuheli Biswas

This paper develops a Bayesian framework to accurately infer cell-size regulation strategies by accounting for noise and variability, showing that previous methods were biased and that adder-like regulation is more consistent across organisms.

The paper re-examines mRNA-protein correlations in E. coli, develops a theoretical framework accounting for cell growth and division, and validates it with simulations and data.

This study shows that stochastic growth fluctuations, not cell size or division, drive cell-to-cell growth variability in lymphocytic leukemia cells.

The paper proposes a dynamic perspective on homeostasis, suggesting it emerges from multi-dimensional attractors rather than explicit control mechanisms, supported by models and single-cell dataset analysis.

This study investigates growth-rate variability in bacteria during balanced exponential growth and presents a theoretical framework explaining it through a collective dynamic attractor.

The paper investigates how decoys affect the timing of intracellular events by analyzing first passage time statistics under different binding conditions.