James C. Pino

This study identifies sex-specific multi-omic responses to endurance exercise training in rat lungs, revealing differences in immune pathways and mitochondrial acetylation between males and females.

The paper introduces PyDyNo, a framework to identify dominant reaction paths in biochemical networks using Bayesian parameter optimization, revealing distinct signal execution modes in apoptosis and JAK2/STAT5 networks.

The paper develops a spatial proteomics method to map the human pancreatic islet microenvironment and identifies spatial gradients in RNA processing proteins.

The paper introduces MAGINE, a framework for analyzing multi-omics time-course data to build mechanistic hypotheses of cellular responses to perturbations.

The paper presents GPU-SSA, a GPU-accelerated implementation of the Stochastic Simulation Algorithm, showing significant speedup over CPU implementations for chemical reaction simulations.