Jun F. Allard

This paper develops a computational model of formin FH1 domain dynamics to study how N-terminal dimerization affects actin polymerization rates and cytoskeletal assembly.

This study shows that optimizing the number of filaments per aster in cytoskeletal networks enhances mechanical strength and rigidity, as revealed by computational simulations and percolation theory.

This paper develops a computational pipeline to infer kinetic parameters from single-cell RNA sequencing data and assesses parameter identifiability using the stochastic telegraph model.

The paper develops a flexible modeling approach that balances interpretability and accuracy, showing a simple signaling model can explain T cell frequency responses to pulsatile stimuli.

The paper uses polymer mechanics and nucleosome positioning to explain genomic contacts, finding that nucleosomes explain 71% of close contacts within 500 kb.

The paper shows zebrafish airinemes balance ballistic and diffusive search to optimize target cell contact probability.