Michael Snyder’s lab uses and invents a variety of approaches to analyze genomes, transcriptome, proteomes and regulatory networks. His team has been applying omics approaches of genome sequencing, transcriptomics, proteomics, metabolomics, DNA methylation and microbiome assays to the analysis of human disease. These integrative omics approaches are being applied to help understand the molecular basis of disease and the development of diagnostics and therapeutics.

Snyder’s lab also carried out the first longitudinal profiling of a human using multiomics for personalized health and medicine. With expertise in omics, using wearable sensors and bioinformatics, his team has been among the first to demonstrate that self-tracking using wearables can be used for monitoring health and illness and the power of using longitudinal tracking and big data to manage human health.

Snyder and colleagues have recently performed related integrative omics studies to generate new concepts for autism. They have also used multiomic profiling to examine the effect of weight gain and loss on people with insulin resistance.