Pradyumna Harlapur

The paper identifies distinct geometrical landscapes for two gene regulatory motifs that exhibit tristability and shows how these landscapes can model cell fate transitions in cancer.

The paper introduces a coherence matrix to analyze directional regulatory coordination in gene regulatory networks, showing how hierarchical structures mitigate scaling penalties in sparse networks.

The paper shows that coordinated teams in biological networks lead to low-dimensional phenotypic space, with PC1 capturing most variance.

The paper shows that using the same guide RNA structure for CRISPRi and CRISPRa in E. coli prevents context-dependent effects, ensuring predictable gene circuit behavior.

The paper compares TG/CA repeats across sixteen primate genomes, finding higher numbers and expansion in humans compared to other primates.

This study investigates how couplings between bistable switches affect multistability and phenotypic space using simulation methods.

The paper investigates how mutually repressing network motifs maintain their dynamics when embedded in larger networks, finding that increased connectivity and self-inhibition reduce their canonical behavior.