Lance A. Liotta

The paper uses ensemble machine learning on metabolomic data to identify fatty acid metabolites associated with macrophage polarization into anti-tumor M1 or pro-tumor M2 states.

The paper identifies design principles for Robust Perfect Adaptation in biochemical networks, showing they can be decomposed into two modular building blocks.

This paper analyzes ODE-based biochemical models with singular Jacobians, deriving an adaptation condition applicable to both single and multiple input-output systems.