Frederik Graw

This study shows how the porous structure of the extracellular matrix influences cell migration through geometric effects, introducing the concept of porotaxis.

This study examines virus-virus interactions among IAV, SARS-CoV-2, and RSV in a human airway epithelium model, revealing dynamic, asymmetric effects influenced by infection order and host responses.

The paper analyzes T cell responses to mRNA vaccination, finding that polyclonality and high, but not maximum, antigen receptor avidity correlate with response quality.

This study investigates how influenza A virus morphology affects entry kinetics and cell-to-cell spread, finding that filamentous viruses spread more slowly and are advantageous under neutralizing antibody pressure.

The paper benchmarks machine learning algorithms for cytometry data analysis, finding decision trees provide high accuracy, speed, and memory efficiency for immune cell phenotype quantification.

FitMultiCell provides a scalable pipeline for modeling, simulating, and parameterizing multi-scale multi-cellular processes using Morpheus and pyABC.

The paper develops an extended computational model to infer cell motility dynamics from incomplete tracking data in 3D collagen environments, showing it can reliably parameterize motility despite track loss.