Elba Raimúndez

This paper introduces a method to accelerate Bayesian inference for dynamical systems by marginalizing the posterior distribution, improving computational efficiency by up to 50 times in effective sample size.

This paper develops a mechanistic model of gastric cancer to study response and resistance factors for cetuximab treatment, showing it can predict responses to perturbations and identify causal differences between cell lines.

The paper presents 20 ODE-based benchmark models for evaluating dynamic modeling methods in systems biology, including parameter estimation and uncertainty analysis.