Vaibhav Anand

This paper models the Warburg effect's role in the tumor microenvironment, showing lactate secretion creates a growth-exclusion tradeoff resolved by pro-tumor stromal cross-feeding.

The paper models tumor-immune interactions as a two-team ecosystem using a generalized Lotka-Volterra framework to predict ecological outcomes in the tumor microenvironment.

The paper introduces a multilevel Boolean model to capture hybrid epithelial-mesenchymal phenotypes, revealing more stable and biologically relevant hybrid states than traditional binary models.

The paper shows that multi-team competition in gene regulatory networks leads to less stable outcomes compared to binary competition, explaining why binary decisions are common in biology.

The paper introduces a framework to analyze gene regulatory networks by identifying mutually inhibiting teams of nodes and shows how network topology predicts dynamic behavior.