Jorge M. Gonçalves

This paper introduces GRIT, a method for inferring gene regulatory networks from single-cell data using optimal transport to model the evolution of cell distributions over time.

The paper uses causal dynamical modelling to predict regulatory genes of FOXP3 in human Tregs and validates three candidates experimentally.

This paper systematically analyzes and optimizes early warning signals for critical transitions using mathematical frameworks and empirical data.

The paper organizes a DREAM challenge to benchmark predictive models of single-cell signaling using mass cytometry data from breast cancer cell lines.

This paper introduces dynamical structure functions to model genetic circuits from time-series data with incomplete measurements, demonstrating their ability to explain failure modes in genetic circuits.

FastField provides an efficient open-source toolbox for approximating DBS electric fields and VTA, achieving high accuracy and speed compared to traditional methods.