Sandeep Krishna

The paper studies how mechanical forces, bacterial growth, and viral infection dynamics interact during the expansion of an E. coli colony, revealing phage hitchhiking and anisotropic spread.

The paper identifies three structural features of chemical reaction networks that predict out-of-steady-state relaxation dynamics, applicable to both artificial and biological systems.

The paper presents a model of the presomitic mesoderm to derive constraints linking somite size, timing, and PSM growth, with predictions for perturbations and phase profile shapes.

The paper presents a minimal bistability model explaining oscillations between quiescent and proliferative cell states through metabolic resource availability and cell-state communication.

The paper introduces CPI-EM, a method using ChIP-seq peak intensities and expectation maximization to detect cooperative TF pairs, showing improved performance over distance-based and sequence-based methods.

This study uses RNA-Seq to show Rsd and 6S RNA regulate sigma factor activity and gene expression in E. coli across growth phases, revealing novel interactions and a mathematical model of transcriptional control.