Sophie Bérubé

The paper introduces Aster, a statistical framework for accurately classifying antimalarial drug efficacy outcomes by accounting for complexity of infection and genotyping limitations.

The paper develops a Bayesian hierarchical model to extract posterior distributions and ranks from protein microarray data, showing improved performance over existing methods.

The paper identifies superinfection as a key mechanism in sustaining complex Plasmodium falciparum infections in mosquitoes by analyzing genetic diversity in a longitudinal cohort.

The paper develops a pre-processing pipeline to correct technical variation in protein microarrays, showing that preprocessing impacts downstream analysis validity.