Huy D. Vo

The Stochastic System Identification Toolkit (SSIT) to model, fit, predict, and design experiments

The paper introduces SSIT, a toolkit for stochastic modeling and analysis, demonstrating its application on yeast and breast cancer datasets.

Analysis and design of single-cell experiments to harvest fluctuation information while rejecting measurement noise

The paper proposes a computational framework to analyze single-cell experiments and optimize design to extract fluctuation information while reducing measurement noise.

Visualization and Modeling of Inhibition of IL-1β and TNFα mRNA Transcription at the Single-Cell Level

The paper uses single-cell mRNA visualization and mathematical modeling to show how inhibitors block IL-1β and TNF-α expression and reveal their activation pathways.

A Parallel Implementation of the Finite State Projection Algorithm for the Solution of the Chemical Master Equation

The paper introduces a parallel implementation of a modified Finite State Projection algorithm to solve the chemical master equation more efficiently.

Bayesian estimation for stochastic gene expression using multifidelity models

This paper introduces two Bayesian inference methods for stochastic gene expression parameters using multifidelity models, showing significant computational speedup compared to full FSP approaches.