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Tu Lab at Mount Sinai

Our group works on integrating large scale "omics" data, i.e., genetic and various genomic data to understand aging and complex diseases (we call it a Systems Geroscience approach). We believe in order to better study aging, which is an extremely complex process, it can be very helpful to build a systems modeling and rely on that to identify the genes and pathways that drive aging and age-related disease phenotype. The following problems are of most interest to us:

  • Define human aging at molecular level using "omics" data
  • Modeling the mechanistic link between disease network and aging network
  • Use our model to identify anti-aging intervention to extend human health span

For more information, please see the research.