Michael B. Sohn

The paper introduces a semi-parametric multiple imputation method for high-sparse, high-dimensional compositional data and demonstrates its benefits in simulation studies and a T2D dataset.

This study links affective symptoms during pregnancy to vaginal microbiome composition, showing associations with specific taxa and metabolic pathways.

The paper develops a sparse compositional mediation model to estimate causal effects in microbiome studies and applies it to investigate fat intake's effect on BMI through gut microbiome composition.