Cecilia Valenzuela Agüí

Bayesian neural networks enable inference of complex phylodynamic processes

This paper introduces BELLA, a Bayesian neural network framework for modeling complex phylodynamic processes, showing improved accuracy over linear models in capturing nonlinear relationships between predictors and evolutionary rates.

Highly pathogenic avian influenza management in high-density poultry farming areas

This study analyzes the spread of H5 avian influenza in high-density poultry farms using phylogeographic tools, identifying key factors driving transmission and control thresholds.

Onset of infectiousness explains differences in transmissibility across Mycobacterium tuberculosis lineages

The paper uses genomic data and phylodynamic models to show that Mycobacterium tuberculosis lineages have similar infectiousness durations but differ in onset timing, affecting transmission dynamics.