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Michael Snyder is the W. Ascherman Professor of Genetics at Stanford Medicine, where he leads research focusing on the omics revolution in personalized medicine. His laboratory aims to understand human health through the lens of genetic variation and health by using advanced multi-omics profiling techniques. Snyder's work is groundbreaking in developing innovative approaches that analyze genomes and regulatory networks to explore human disease, genetic variations, and biodata related to health in various cohorts, including studies focusing on lifestyles and health outcomes. He has played a pivotal role in using wearables for health monitoring and understanding biological responses, particularly through his studies on COVID-19 and metabolic responses that could help in personalized healthcare. Snyder's research not only contributes to academic knowledge but also directly influences clinical applications aimed at improving health outcomes.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.