Nathaniel J. Linden-Santangeli

The paper develops a data-informed model of AMPK signaling using uncertainty quantification and biosensors, showing AMPK integrates inputs over time during exercise.

This paper uses Bayesian multimodel inference to improve predictive certainty in systems biology models of intracellular signaling pathways.

This study introduces a Bayesian framework for parameter estimation in dynamical systems models and demonstrates its application to signaling models, showing how uncertainty quantification improves systems biology modeling.