Xavier Bailly

This paper applies Neural Posterior Estimation to infer parameters in epidemiological and phylodynamic models using Ebola outbreak data, showing accurate and reliable posterior estimates.

This study examines co-infection patterns in European roe deer, finding that proximity to livestock, sex, age, and activity levels influence parasite presence, with minimal between-parasite interactions.

This paper develops and validates a multi-target TaqMan qPCR method to detect Borrelia burgdorferi sensu lato with high sensitivity and specificity across different sample types.

The paper investigates how rare microbial species affect the reliability of association tests in microbiota data and suggests dataset trimming to improve inference.

MAGMA infers microbial association networks by accounting for microbiota data features like zeros, overdispersion, and covariates, outperforming existing methods in simulations and revealing new biology in real data.