Research focuses on computational microbiome analysis: machine learning and embeddings, multi-omic integration, and cross-cohort generalization to uncover robust, reproducible microbiome–host patterns. Work links gut–brain axis biology to neurodevelopmental and inflammatory conditions, using longitudinal designs, open-source tools, and translational models.