James Patrick Sluka

The paper develops a computational model of influenza A virus infection that simulates semi-infectious particles and genome complementation, showing how these factors influence IFN response and viral load in respiratory epithelial cells.

The paper introduces the httk R package for transparent toxicokinetic modeling, enabling in vitro to in vivo extrapolation and improving public health risk assessment.

The paper develops a multi-scale computational model of wound healing that simulates senescent cell dynamics and SASP profiles to understand their role in tissue repair and disease states.

The paper develops a multiscale model of the mammalian liver circadian clock to show that intercellular communication is necessary for sustained circadian oscillations with a near 24-hour period.

PhenoCellPy provides a Python package to model cell behaviors and states, enabling integration with other modeling frameworks.

This paper uses a Cellular Potts Model to simulate cell movement and aggregation during kidney development, showing that chemoattractant secretion and cell adhesion differences drive NP cell patterning.