Microbiome Mediation Modeling Lab

This lab focuses on developing statistical mediation modeling approaches to identify disease causal pathways mediated by microbes and epigenetic changes in molecular epidemiology and children’s environmental health research. More specifically, we are interested in baby microbiota and epigenetic changes mediating the effects of prenatal and postnatal factors such as in utero arsenic exposure, maternal diet and postnatal arsenic exposures on their health outcomes including infection, allergy, atopy, etc. This lab is also interested developing joint modeling approaches to account for the dependence between quality of life and survival when analyzing such data in palliative care research. The Microbiome Mediation Modeling Lab is directed by Dr. Zhigang Li.